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Research Process – Steps, Examples and Tips

Table of Contents

Research Process

Definition:

Research Process is a systematic and structured approach that involves the collection, analysis, and interpretation of data or information to answer a specific research question or solve a particular problem.

Research Process Steps

Research Process Steps are as follows:

Identify the Research Question or Problem

This is the first step in the research process. It involves identifying a problem or question that needs to be addressed. The research question should be specific, relevant, and focused on a particular area of interest.

Conduct a Literature Review

Once the research question has been identified, the next step is to conduct a literature review. This involves reviewing existing research and literature on the topic to identify any gaps in knowledge or areas where further research is needed. A literature review helps to provide a theoretical framework for the research and also ensures that the research is not duplicating previous work.

Formulate a Hypothesis or Research Objectives

Based on the research question and literature review, the researcher can formulate a hypothesis or research objectives. A hypothesis is a statement that can be tested to determine its validity, while research objectives are specific goals that the researcher aims to achieve through the research.

Design a Research Plan and Methodology

This step involves designing a research plan and methodology that will enable the researcher to collect and analyze data to test the hypothesis or achieve the research objectives. The research plan should include details on the sample size, data collection methods, and data analysis techniques that will be used.

Collect and Analyze Data

This step involves collecting and analyzing data according to the research plan and methodology. Data can be collected through various methods, including surveys, interviews, observations, or experiments. The data analysis process involves cleaning and organizing the data, applying statistical and analytical techniques to the data, and interpreting the results.

Interpret the Findings and Draw Conclusions

After analyzing the data, the researcher must interpret the findings and draw conclusions. This involves assessing the validity and reliability of the results and determining whether the hypothesis was supported or not. The researcher must also consider any limitations of the research and discuss the implications of the findings.

Communicate the Results

Finally, the researcher must communicate the results of the research through a research report, presentation, or publication. The research report should provide a detailed account of the research process, including the research question, literature review, research methodology, data analysis, findings, and conclusions. The report should also include recommendations for further research in the area.

Review and Revise

The research process is an iterative one, and it is important to review and revise the research plan and methodology as necessary. Researchers should assess the quality of their data and methods, reflect on their findings, and consider areas for improvement.

Ethical Considerations

Throughout the research process, ethical considerations must be taken into account. This includes ensuring that the research design protects the welfare of research participants, obtaining informed consent, maintaining confidentiality and privacy, and avoiding any potential harm to participants or their communities.

Dissemination and Application

The final step in the research process is to disseminate the findings and apply the research to real-world settings. Researchers can share their findings through academic publications, presentations at conferences, or media coverage. The research can be used to inform policy decisions, develop interventions, or improve practice in the relevant field.

Research Process Example

Following is a Research Process Example:

Research Question : What are the effects of a plant-based diet on athletic performance in high school athletes?

Step 1: Background Research Conduct a literature review to gain a better understanding of the existing research on the topic. Read academic articles and research studies related to plant-based diets, athletic performance, and high school athletes.

Step 2: Develop a Hypothesis Based on the literature review, develop a hypothesis that a plant-based diet positively affects athletic performance in high school athletes.

Step 3: Design the Study Design a study to test the hypothesis. Decide on the study population, sample size, and research methods. For this study, you could use a survey to collect data on dietary habits and athletic performance from a sample of high school athletes who follow a plant-based diet and a sample of high school athletes who do not follow a plant-based diet.

Step 4: Collect Data Distribute the survey to the selected sample and collect data on dietary habits and athletic performance.

Step 5: Analyze Data Use statistical analysis to compare the data from the two samples and determine if there is a significant difference in athletic performance between those who follow a plant-based diet and those who do not.

Step 6 : Interpret Results Interpret the results of the analysis in the context of the research question and hypothesis. Discuss any limitations or potential biases in the study design.

Step 7: Draw Conclusions Based on the results, draw conclusions about whether a plant-based diet has a significant effect on athletic performance in high school athletes. If the hypothesis is supported by the data, discuss potential implications and future research directions.

Step 8: Communicate Findings Communicate the findings of the study in a clear and concise manner. Use appropriate language, visuals, and formats to ensure that the findings are understood and valued.

Applications of Research Process

The research process has numerous applications across a wide range of fields and industries. Some examples of applications of the research process include:

• Scientific research: The research process is widely used in scientific research to investigate phenomena in the natural world and develop new theories or technologies. This includes fields such as biology, chemistry, physics, and environmental science.
• Social sciences : The research process is commonly used in social sciences to study human behavior, social structures, and institutions. This includes fields such as sociology, psychology, anthropology, and economics.
• Education: The research process is used in education to study learning processes, curriculum design, and teaching methodologies. This includes research on student achievement, teacher effectiveness, and educational policy.
• Healthcare: The research process is used in healthcare to investigate medical conditions, develop new treatments, and evaluate healthcare interventions. This includes fields such as medicine, nursing, and public health.
• Business and industry : The research process is used in business and industry to study consumer behavior, market trends, and develop new products or services. This includes market research, product development, and customer satisfaction research.
• Government and policy : The research process is used in government and policy to evaluate the effectiveness of policies and programs, and to inform policy decisions. This includes research on social welfare, crime prevention, and environmental policy.

Purpose of Research Process

The purpose of the research process is to systematically and scientifically investigate a problem or question in order to generate new knowledge or solve a problem. The research process enables researchers to:

• Identify gaps in existing knowledge: By conducting a thorough literature review, researchers can identify gaps in existing knowledge and develop research questions that address these gaps.
• Collect and analyze data : The research process provides a structured approach to collecting and analyzing data. Researchers can use a variety of research methods, including surveys, experiments, and interviews, to collect data that is valid and reliable.
• Test hypotheses : The research process allows researchers to test hypotheses and make evidence-based conclusions. Through the systematic analysis of data, researchers can draw conclusions about the relationships between variables and develop new theories or models.
• Solve problems: The research process can be used to solve practical problems and improve real-world outcomes. For example, researchers can develop interventions to address health or social problems, evaluate the effectiveness of policies or programs, and improve organizational processes.
• Generate new knowledge : The research process is a key way to generate new knowledge and advance understanding in a given field. By conducting rigorous and well-designed research, researchers can make significant contributions to their field and help to shape future research.

Tips for Research Process

Here are some tips for the research process:

• Start with a clear research question : A well-defined research question is the foundation of a successful research project. It should be specific, relevant, and achievable within the given time frame and resources.
• Conduct a thorough literature review: A comprehensive literature review will help you to identify gaps in existing knowledge, build on previous research, and avoid duplication. It will also provide a theoretical framework for your research.
• Choose appropriate research methods: Select research methods that are appropriate for your research question, objectives, and sample size. Ensure that your methods are valid, reliable, and ethical.
• Be organized and systematic: Keep detailed notes throughout the research process, including your research plan, methodology, data collection, and analysis. This will help you to stay organized and ensure that you don’t miss any important details.
• Analyze data rigorously: Use appropriate statistical and analytical techniques to analyze your data. Ensure that your analysis is valid, reliable, and transparent.
• I nterpret results carefully : Interpret your results in the context of your research question and objectives. Consider any limitations or potential biases in your research design, and be cautious in drawing conclusions.
• Communicate effectively: Communicate your research findings clearly and effectively to your target audience. Use appropriate language, visuals, and formats to ensure that your findings are understood and valued.
• Collaborate and seek feedback : Collaborate with other researchers, experts, or stakeholders in your field. Seek feedback on your research design, methods, and findings to ensure that they are relevant, meaningful, and impactful.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Research Process Steps: What they are + How To Follow

There are various approaches to conducting basic and applied research. This article explains the research process steps you should know. Whether you are doing basic research or applied research, there are many ways of doing it. In some ways, each research study is unique since it is conducted at a different time and place.

Conducting research might be difficult, but there are clear processes to follow. The research process starts with a broad idea for a topic. This article will assist you through the research process steps, helping you focus and develop your topic.

Research Process Steps

The research process consists of a series of systematic procedures that a researcher must go through in order to generate knowledge that will be considered valuable by the project and focus on the relevant topic.

To conduct effective research, you must understand the research process steps and follow them. Here are a few steps in the research process to make it easier for you:

Step 1: Identify the Problem

Finding an issue or formulating a research question is the first step. A well-defined research problem will guide the researcher through all stages of the research process, from setting objectives to choosing a technique. There are a number of approaches to get insight into a topic and gain a better understanding of it. Such as:

• A preliminary survey
• Case studies
• Interviews with a small group of people
• Observational survey

Step 2: Evaluate the Literature

A thorough examination of the relevant studies is essential to the research process . It enables the researcher to identify the precise aspects of the problem. Once a problem has been found, the investigator or researcher needs to find out more about it.

This stage gives problem-zone background. It teaches the investigator about previous research, how they were conducted, and its conclusions. The researcher can build consistency between his work and others through a literature review. Such a review exposes the researcher to a more significant body of knowledge and helps him follow the research process efficiently.

Step 3: Create Hypotheses

Formulating an original hypothesis is the next logical step after narrowing down the research topic and defining it. A belief solves logical relationships between variables. In order to establish a hypothesis, a researcher must have a certain amount of expertise in the field. 

It is important for researchers to keep in mind while formulating a hypothesis that it must be based on the research topic. Researchers are able to concentrate their efforts and stay committed to their objectives when they develop theories to guide their work.

Step 4: The Research Design

Research design is the plan for achieving objectives and answering research questions. It outlines how to get the relevant information. Its goal is to design research to test hypotheses, address the research questions, and provide decision-making insights.

The research design aims to minimize the time, money, and effort required to acquire meaningful evidence. This plan fits into four categories:

• Exploration and Surveys
• Data Analysis
• Observation

Step 5: Describe Population

Research projects usually look at a specific group of people, facilities, or how technology is used in the business. In research, the term population refers to this study group. The research topic and purpose help determine the study group.

Suppose a researcher wishes to investigate a certain group of people in the community. In that case, the research could target a specific age group, males or females, a geographic location, or an ethnic group. A final step in a study’s design is to specify its sample or population so that the results may be generalized.

Step 6: Data Collection

Data collection is important in obtaining the knowledge or information required to answer the research issue. Every research collected data, either from the literature or the people being studied. Data must be collected from the two categories of researchers. These sources may provide primary data.

• Questionnaire

Secondary data categories are:

• Literature survey
• Official, unofficial reports
• An approach based on library resources

Step 7: Data Analysis

During research design, the researcher plans data analysis. After collecting data, the researcher analyzes it. The data is examined based on the approach in this step. The research findings are reviewed and reported.

Data analysis involves a number of closely related stages, such as setting up categories, applying these categories to raw data through coding and tabulation, and then drawing statistical conclusions. The researcher can examine the acquired data using a variety of statistical methods.

Step 8: The Report-writing

After completing these steps, the researcher must prepare a report detailing his findings. The report must be carefully composed with the following in mind:

• The Layout: On the first page, the title, date, acknowledgments, and preface should be on the report. A table of contents should be followed by a list of tables, graphs, and charts if any.
• Introduction: It should state the research’s purpose and methods. This section should include the study’s scope and limits.
• Summary of Findings: A non-technical summary of findings and recommendations will follow the introduction. The findings should be summarized if they’re lengthy.
• Principal Report: The main body of the report should make sense and be broken up into sections that are easy to understand.
• Conclusion: The researcher should restate his findings at the end of the main text. It’s the final result.

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The research process involves several steps that make it easy to complete the research successfully. The steps in the research process described above depend on each other, and the order must be kept. So, if we want to do a research project, we should follow the research process steps.

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The Research Process | Steps, How to Start & Tips

Introduction

Basic steps in the research process, conducting a literature review, designing the research project, collecting and analyzing data.

• Interpretation, conclusion and presentation of findings

Key principles for conducting research

The research process is a systematic method used to gather information and answer specific questions. The process ensures the findings are credible, high-quality, and applicable to a broader context. It can vary slightly between disciplines but typically follows a structured pathway from initial inquiry to final presentation of results.

What is the research process?

At its core, the research process involves several fundamental activities: identifying a topic that needs further investigation, reviewing existing knowledge on the subject, forming a precise research question , and designing a method to investigate it. This is followed by collecting and analyzing data , interpreting the results, and reporting the findings. Each step is crucial and builds upon the previous one, requiring meticulous attention to detail and rigorous methodology.

The research process is important because it provides a scientific basis for decision-making. Whether in academic, scientific, or commercial fields, research helps us understand complex issues, develop new tools or products, and improve existing practices. By adhering to a structured research process , researchers can produce results that are not only insightful but also transparent so that others can understand how the findings were developed and build on them in future studies. The integrity of the research process is essential for advancing knowledge and making informed decisions that can have significant social, economic, and scientific impacts.

The research process fosters critical thinking and problem-solving skills. It demands a clear articulation of a problem, thorough investigation, and thoughtful interpretation of data, all of which are valuable skills in any professional field. By following this process, researchers are better equipped to tackle complex questions and contribute meaningful solutions to real-world problems.

From finding the key theoretical concepts to presenting the research findings in a report, every step in the research process forms a cohesive pathway that supports researchers in systematically uncovering deep insights and generating meaningful knowledge, which is crucial for the success of any qualitative investigation.

Identifying key theoretical concepts

The first step in the research process involves finding the key theoretical concepts or words that specify the research topic and are always included in the title of the investigation. Without a definition, these words have no sense or meaning (Daft, 1995). To identify these concepts, a researcher must ask which theoretical keywords are implicit in the investigation. To answer this question a researcher should identify the logical relationships among the two words that catch the focus of the investigation. It is also crucial that researchers provide clear definitions for their theoretical keywords. The title of the research can then include these theoretical keywords and signal how they are being studied.

A piece of useful advice is to draw a conceptual map to visualize the direct or indirect relationships between the key theoretical words and choose a relationship between them as the focus of the investigation.

Developing a research question

One of the most important steps in the research endeavor is identifying a research question. Research questions answer aspects of the topic that need more knowledge or shed light on information that has to be prioritized before others. It is the first step in identifying which participants or type of data collection methods. Research questions put into practice the conceptual framework and make the initial theoretical concepts more explicit.

A research question carries a different implicit meaning depending on how it is framed. Questions starting with what, who, and where usually identify a phenomenon or elements of one, while how, why, when and how much describe, explain, predict or control a phenomenon.

Overall, research questions must be clear, focused and complex. They must also generate knowledge relevant to society and the answers must pose a comprehensive understanding that contributes to the scientific community.

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A literature review is the synthesis of the existing body of research relevant to a research topic . It allows researchers to identify the current state of the art of knowledge of a particular topic. When conducting research, it is the foundation and guides the researcher to the knowledge gaps that need to be covered to best contribute to the scientific community.

Common methodologies include miniaturized or complete reviews, descriptive or integrated reviews, narrative reviews, theoretical reviews, methodological reviews and systematic reviews.

When navigating through the literature, researchers must try to answer their research question with the most current peer-reviewed research when finding relevant data for a research project. It is important to use the existing literature in at least two different databases and adapt the key concepts to amplify their search. Researchers also pay attention to the titles, summaries and references of each article. It is recommended to have a research diary for useful previous research as it could be the researcher´s go-to source when writing the final report.

A good research design involves data analysis methods suited to the research question, and where data collection generates appropriate data for the analysis method (Willig, 2001).

Designing a qualitative study is a critical step in the research process, serving as the blueprint for the research study. This phase is a fundamental part of the planning process, ensuring that the chosen research methods align perfectly with the research's purpose. During this stage, a researcher decides on a specific approach—such as narrative , phenomenological , grounded theory , ethnographic , or case study —tailoring the design to the unique research problem and needs of the research project. By carefully selecting the research method and planning how to approach the data, researchers can ensure that their work remains focused and relevant to the intended study area.

A well-constructed research design is vital for maintaining the integrity and credibility of the study. It guides the researcher through the research process steps, from data collection to analysis, helping to manage and mitigate potential interpretations and errors. This detailed planning is crucial, particularly in qualitative studies, where the depth of understanding and interpretive nature of analysis can significantly influence outcomes.

The design of a qualitative study is more than a procedural formality; it is a strategic component of the research that enhances the quality of the results. It requires thoughtful consideration of the research question, ensuring that every aspect of the methodology contributes effectively to the overarching goals of the project.

Collecting data

Gathering data can involve various methods tailored to the study's specific needs. To collect data , techniques may include interviews , focus groups, surveys and observations , each chosen for its ability to target a specific group relevant to the research population. For example, focus groups might explore attitudes within a specific age group, while observations might analyze behaviours in a community for population research projects. Data may also come from secondary sources with quantitative and qualitative approaches such as library resources, market research, customer feedback or employee evaluations.

Effective data management is crucial, ensuring that primary data from direct collection and secondary data from sources like public health records are organized and maintained properly. This step is vital for maintaining the integrity of the data throughout the research process steps, supporting the overall goal of conducting thorough and coherent research.

Analyzing data

Once research data has been collected, the next critical step is to analyze the data. This phase is crucial for transforming raw data into high-quality information for meaningful research findings.

Analyzing qualitative data often involves coding and thematic analysis , which helps identify patterns and themes within the data. While qualitative research typically does not focus on drawing statistical conclusions, integrating basic statistical methods can sometimes add depth to the data interpretation, especially in mixed-methods research where quantitative data complements qualitative insights.

In each of the research process steps, researchers utilize various research tools and techniques to conduct research and analyze the data systematically. This may include computer-assisted qualitative data analysis software (CAQDAS) such as ATLAS.ti, which assists in organizing, sorting, and coding the data efficiently. It can also host the research diary and apply analysis methods such as word frequencies and network visualizations.

Interpretation, conclusion and presentation of research findings

Interpreting research findings.

By meticulously following systematic procedures and working through the data, researchers can ensure that their interpretations are grounded in the actual data collected, enhancing the trustworthiness and credibility of the research findings.

The interpretation of data is not merely about extracting information but also involves making sense of the data in the context of the existing literature and research objectives. This step is not only about what the data is, but what it means in the broader context of the study, enabling researchers to draw insightful conclusions that contribute to the academic and practical understanding of the field.

Concluding and presenting research findings

The final step is concluding and presenting the research data which are crucial for transforming analyzed data into meaningful insights and credible findings.

The results are typically shared in a research report or academic paper, detailing the findings and contextualizing them within the broader field. This document outlines how the insights contribute to existing knowledge, suggests areas for future research, and may propose practical applications.

Effective presentation is key to ensuring that these findings reach and impact the intended audience. This involves not just articulating the conclusions clearly but also using engaging formats and visual aids to enhance comprehension and engagement with the research.

The research process is a dynamic journey, characterized by a series of systematic research process steps designed to guide researchers successfully from inception to conclusion. Each step—from designing the study and collecting data to analyzing results and drawing conclusions—plays a critical role in ensuring the integrity and credibility of the research.

Qualitative research is guided by key principles designed to ensure the rigour and depth of the research study. Credibility is crucial, achieved through accurate representations of participant experiences, often verified by peer-review revision. Transferability is addressed by providing rich context, allowing others to evaluate the applicability of findings to similar settings. Dependability emphasizes the stability and consistency of data, maintained through detailed documentation of the research process (such as in a research diary), facilitating an audit trail. This aligns with confirmability, where the neutrality of the data is safeguarded by documenting researcher interpretations and decisions, ensuring findings are shaped by participants and not researcher predispositions.

Ethical integrity is paramount, upholding standards like informed consent and confidentiality to protect participant rights throughout the research journey. Qualitative research also strives for a richness and depth of data that captures the complex nature of human experiences and interactions, often exploring these phenomena through an iterative learning process. This involves cycles of data collection and analysis, allowing for ongoing adjustments based on emerging insights. Lastly, a holistic perspective is adopted to view phenomena in their entirety, considering all aspects of the context and environment, which enriches the understanding and relevance of the research outcomes. Together, these principles ensure qualitative research is both profound and ethically conducted, yielding meaningful and applicable insights.

Daft, R. L. (1995). Organization Theory and Design. West Publishing Company.

Willig, C. (2001). Introducing Qualitative Research in Psychology: Adventures in Theory and Method. McGraw-Hill Companies, Incorporated.

Whatever your research objectives, make it happen with ATLAS.ti. Download a free trial today.

Library Research at Cornell: The Research Steps

• The Research Steps
• Which Topic?
• Find the Context
• Find Articles
• Evaluate Sources
• Cite Sources
• Review the Steps
• Find Primary Sources
• Find Images
• Library Jargon

Steps to Effective Library Research

• Identifying and Negotiating a Research Topic How to identify a viable topic and negotiate changes in your topic as you go
• Reference Sources for Background and Context on a Topic Find articles that summarize the topic, explain key concepts, define terminology and much more
• Finding Books Find items held at Cornell (books, videos, journal holdings, etc.)
• Finding Articles Find articles, essays, and book chapters
• Requesting Items not available at Cornell BorrowDirect and Interlibrary Loan
• Evaluating Your sources Some tips on how to evaluate the sources you've found
• Citing Your Sources Guides and resources for preparing your bibliography
• Getting Help Ask a Librarian!

Library Jargon: Common Terms Defined

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Reference Help

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• Last Updated: Jul 17, 2024 1:36 PM
• URL: https://guides.library.cornell.edu/sevensteps

Educational resources and simple solutions for your research journey

Research Process Steps: What Are They and How to Follow Them?

Scientific research plays a critical role in advancing our understanding of the environment and finding solutions to the increasingly complex problems that plague our world today. It requires researchers to identify knowledge gaps and undertake thorough investigations on the issues at hand. Consequently, scientific research calls for a systematic approach to acquiring and assessing new knowledge. However, because each study has its distinct objectives, variables, and potential problems, conducting scientific research can prove to be complex and challenging.  In this article, we will outline the fundamental steps to be followed when conducting research, which will benefit early career researchers.  

Table of Contents

Steps to conducting scientific research  

Some basic processes are common to all research studies. These steps help ensure that the research is conducted in a systematic and rigorous manner. 

Defining the research question

All scientific research must begin with a clearly defined research question that the research aims to address. A well-defined research question should be specific, relevant, and focused and must provide a clear direction to the study.  

Conducting a comprehensive literature review

Once the research question has been defined, the next step is to conduct a literature review. This will help researchers understand the current state of knowledge on their topic of research and enable them to identify gaps in the literature. This is crucial as it will allow them to determine the novelty and significance of their proposed research. It will also help researchers to refine their research questions, develop hypotheses, and select appropriate methodologies.  

Designing the research study

Designing the research study will help researchers to narrow down the methodologies to be used in research. A good research design allows researchers to select sampling techniques, data collection instruments, and data analysis methods. The research question, the nature of the data, and the resources available usually guide the choice of the research method. A well-designed methodology ensures the validity, reliability, and replicability of research findings. 

Collecting insights and data

   Once the research design has been finalized, the next step is to collect the data. The data collection phase involves gathering information or observations relevant to the research question. Depending on the research design, data can be collected through surveys, experiments, interviews, observations, or other appropriate methods. Researchers must ensure that data collection is conducted systematically and ethically, following established protocols.  

Interpret and analyze findings

Once the data is collected, the next step will be to interpret and analyze the findings using appropriate statistical or qualitative analysis techniques. This interpretation of research findings is a critical step in the research process as it aims to uncover patterns, relationships, and trends within the collected data, helping to answer the research question and test the proposed hypotheses or research objectives. 

Writing and presenting the research report

Once the research has been completed, it is essential to write a research report that will help researchers communicate their findings to wider audiences. Research reports must be clear, concise, objective, accurate, and well-presented. They must also be written in a simple, transparent way that allows reproducibility.  

Points to keep in mind when conducting scientific research  

Conducting scientific research can be a difficult and time-consuming process. However, it is essential to follow the research process steps mentioned above to ensure the validity and accuracy of the findings. It is also necessary to keep certain critical factors in mind when conducting scientific research. These include- 

• Watch for personal bias: One of the most important things to keep in mind when conducting scientific research is to be objective. This means that researchers must be vigilant and ensure that their personal biases and beliefs do not influence the results of their study.  
• Ensure that research is conducted ethically: Another critical consideration that researchers must focus on is the ethical implications of their research. Researchers must ensure that their work is moral in every way. For example, researchers must obtain informed consent from all participants and ensure that their research does not harm participants. 
• Avoid plagiarism: Early career researchers must understand what constitutes plagiarism in academic writing. Often, they inadvertently commit plagiarism, which could have serious consequences. Plagiarism is viewed as highly unethical in academia and can result in a loss of credibility and reputation for researchers. Therefore, when conducting scientific research, always ensure that your work is original, accurate, and well-presented.  

Following these research process steps and guidelines provided in this article will help early career researchers navigate the intricacies of the research process and maximize the quality of their investigations.

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The critical steps for successful research: The research proposal and scientific writing: (A report on the pre-conference workshop held in conjunction with the 64 th annual conference of the Indian Pharmaceutical Congress-2012)

Pitchai balakumar.

Pharmacology Unit, Faculty of Pharmacy, AIMST University, Semeling, 08100 Bedong. Kedah Darul Aman, Malaysia

Mohammed Naseeruddin Inamdar

1 Department of Pharmacology, Al-Ameen College of Pharmacy, Bengaluru, Karnataka, India

Gowraganahalli Jagadeesh

2 Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, USA

An interactive workshop on ‘The Critical Steps for Successful Research: The Research Proposal and Scientific Writing’ was conducted in conjunction with the 64 th Annual Conference of the Indian Pharmaceutical Congress-2012 at Chennai, India. In essence, research is performed to enlighten our understanding of a contemporary issue relevant to the needs of society. To accomplish this, a researcher begins search for a novel topic based on purpose, creativity, critical thinking, and logic. This leads to the fundamental pieces of the research endeavor: Question, objective, hypothesis, experimental tools to test the hypothesis, methodology, and data analysis. When correctly performed, research should produce new knowledge. The four cornerstones of good research are the well-formulated protocol or proposal that is well executed, analyzed, discussed and concluded. This recent workshop educated researchers in the critical steps involved in the development of a scientific idea to its successful execution and eventual publication.

INTRODUCTION

Creativity and critical thinking are of particular importance in scientific research. Basically, research is original investigation undertaken to gain knowledge and understand concepts in major subject areas of specialization, and includes the generation of ideas and information leading to new or substantially improved scientific insights with relevance to the needs of society. Hence, the primary objective of research is to produce new knowledge. Research is both theoretical and empirical. It is theoretical because the starting point of scientific research is the conceptualization of a research topic and development of a research question and hypothesis. Research is empirical (practical) because all of the planned studies involve a series of observations, measurements, and analyses of data that are all based on proper experimental design.[ 1 – 9 ]

The subject of this report is to inform readers of the proceedings from a recent workshop organized by the 64 th Annual conference of the ‘ Indian Pharmaceutical Congress ’ at SRM University, Chennai, India, from 05 to 06 December 2012. The objectives of the workshop titled ‘The Critical Steps for Successful Research: The Research Proposal and Scientific Writing,’ were to assist participants in developing a strong fundamental understanding of how best to develop a research or study protocol, and communicate those research findings in a conference setting or scientific journal. Completing any research project requires meticulous planning, experimental design and execution, and compilation and publication of findings in the form of a research paper. All of these are often unfamiliar to naïve researchers; thus, the purpose of this workshop was to teach participants to master the critical steps involved in the development of an idea to its execution and eventual publication of the results (See the last section for a list of learning objectives).

THE STRUCTURE OF THE WORKSHOP

The two-day workshop was formatted to include key lectures and interactive breakout sessions that focused on protocol development in six subject areas of the pharmaceutical sciences. This was followed by sessions on scientific writing. DAY 1 taught the basic concepts of scientific research, including: (1) how to formulate a topic for research and to describe the what, why , and how of the protocol, (2) biomedical literature search and review, (3) study designs, statistical concepts, and result analyses, and (4) publication ethics. DAY 2 educated the attendees on the basic elements and logistics of writing a scientific paper and thesis, and preparation of poster as well as oral presentations.

The final phase of the workshop was the ‘Panel Discussion,’ including ‘Feedback/Comments’ by participants. There were thirteen distinguished speakers from India and abroad. Approximately 120 post-graduate and pre-doctoral students, young faculty members, and scientists representing industries attended the workshop from different parts of the country. All participants received a printed copy of the workshop manual and supporting materials on statistical analyses of data.

THE BASIC CONCEPTS OF RESEARCH: THE KEY TO GETTING STARTED IN RESEARCH

A research project generally comprises four key components: (1) writing a protocol, (2) performing experiments, (3) tabulating and analyzing data, and (4) writing a thesis or manuscript for publication.

Fundamentals in the research process

A protocol, whether experimental or clinical, serves as a navigator that evolves from a basic outline of the study plan to become a qualified research or grant proposal. It provides the structural support for the research. Dr. G. Jagadeesh (US FDA), the first speaker of the session, spoke on ‘ Fundamentals in research process and cornerstones of a research project .’ He discussed at length the developmental and structural processes in preparing a research protocol. A systematic and step-by-step approach is necessary in planning a study. Without a well-designed protocol, there would be a little chance for successful completion of a research project or an experiment.

Research topic

The first and the foremost difficult task in research is to identify a topic for investigation. The research topic is the keystone of the entire scientific enterprise. It begins the project, drives the entire study, and is crucial for moving the project forward. It dictates the remaining elements of the study [ Table 1 ] and thus, it should not be too narrow or too broad or unfocused. Because of these potential pitfalls, it is essential that a good or novel scientific idea be based on a sound concept. Creativity, critical thinking, and logic are required to generate new concepts and ideas in solving a research problem. Creativity involves critical thinking and is associated with generating many ideas. Critical thinking is analytical, judgmental, and involves evaluating choices before making a decision.[ 4 ] Thus, critical thinking is convergent type thinking that narrows and refines those divergent ideas and finally settles to one idea for an in-depth study. The idea on which a research project is built should be novel, appropriate to achieve within the existing conditions, and useful to the society at large. Therefore, creativity and critical thinking assist biomedical scientists in research that results in funding support, novel discovery, and publication.[ 1 , 4 ]

Elements of a study protocol

Research question

The next most crucial aspect of a study protocol is identifying a research question. It should be a thought-provoking question. The question sets the framework. It emerges from the title, findings/results, and problems observed in previous studies. Thus, mastering the literature, attendance at conferences, and discussion in journal clubs/seminars are sources for developing research questions. Consider the following example in developing related research questions from the research topic.

Hepatoprotective activity of Terminalia arjuna and Apium graveolens on paracetamol-induced liver damage in albino rats.

How is paracetamol metabolized in the body? Does it involve P450 enzymes? How does paracetamol cause liver injury? What are the mechanisms by which drugs can alleviate liver damage? What biochemical parameters are indicative of liver injury? What major endogenous inflammatory molecules are involved in paracetamol-induced liver damage?

A research question is broken down into more precise objectives. The objectives lead to more precise methods and definition of key terms. The objectives should be SMART-Specific, Measurable, Achievable, Realistic, Time-framed,[ 10 ] and should cover the entire breadth of the project. The objectives are sometimes organized into hierarchies: Primary, secondary, and exploratory; or simply general and specific. Study the following example:

To evaluate the safety and tolerability of single oral doses of compound X in normal volunteers.

To assess the pharmacokinetic profile of compound X following single oral doses.

To evaluate the incidence of peripheral edema reported as an adverse event.

The objectives and research questions are then formulated into a workable or testable hypothesis. The latter forces us to think carefully about what comparisons will be needed to answer the research question, and establishes the format for applying statistical tests to interpret the results. The hypothesis should link a process to an existing or postulated biologic pathway. A hypothesis is written in a form that can yield measurable results. Studies that utilize statistics to compare groups of data should have a hypothesis. Consider the following example:

• The hepatoprotective activity of Terminalia arjuna is superior to that of Apium graveolens against paracetamol-induced liver damage in albino rats.

All biological research, including discovery science, is hypothesis-driven. However, not all studies need be conducted with a hypothesis. For example, descriptive studies (e.g., describing characteristics of a plant, or a chemical compound) do not need a hypothesis.[ 1 ]

Relevance of the study

Another important section to be included in the protocol is ‘significance of the study.’ Its purpose is to justify the need for the research that is being proposed (e.g., development of a vaccine for a disease). In summary, the proposed study should demonstrate that it represents an advancement in understanding and that the eventual results will be meaningful, contribute to the field, and possibly even impact society.

Biomedical literature

A literature search may be defined as the process of examining published sources of information on a research or review topic, thesis, grant application, chemical, drug, disease, or clinical trial, etc. The quantity of information available in print or electronically (e.g., the internet) is immense and growing with time. A researcher should be familiar with the right kinds of databases and search engines to extract the needed information.[ 3 , 6 ]

Dr. P. Balakumar (Institute of Pharmacy, Rajendra Institute of Technology and Sciences, Sirsa, Haryana; currently, Faculty of Pharmacy, AIMST University, Malaysia) spoke on ‘ Biomedical literature: Searching, reviewing and referencing .’ He schematically explained the basis of scientific literature, designing a literature review, and searching literature. After an introduction to the genesis and diverse sources of scientific literature searches, the use of PubMed, one of the premier databases used for biomedical literature searches world-wide, was illustrated with examples and screenshots. Several companion databases and search engines are also used for finding information related to health sciences, and they include Embase, Web of Science, SciFinder, The Cochrane Library, International Pharmaceutical Abstracts, Scopus, and Google Scholar.[ 3 ] Literature searches using alternative interfaces for PubMed such as GoPubMed, Quertle, PubFocus, Pubget, and BibliMed were discussed. The participants were additionally informed of databases on chemistry, drugs and drug targets, clinical trials, toxicology, and laboratory animals (reviewed in ref[ 3 ]).

Referencing and bibliography are essential in scientific writing and publication.[ 7 ] Referencing systems are broadly classified into two major types, such as Parenthetical and Notation systems. Parenthetical referencing is also known as Harvard style of referencing, while Vancouver referencing style and ‘Footnote’ or ‘Endnote’ are placed under Notation referencing systems. The participants were educated on each referencing system with examples.

Bibliography management

Dr. Raj Rajasekaran (University of California at San Diego, CA, USA) enlightened the audience on ‘ bibliography management ’ using reference management software programs such as Reference Manager ® , Endnote ® , and Zotero ® for creating and formatting bibliographies while writing a manuscript for publication. The discussion focused on the use of bibliography management software in avoiding common mistakes such as incomplete references. Important steps in bibliography management, such as creating reference libraries/databases, searching for references using PubMed/Google scholar, selecting and transferring selected references into a library, inserting citations into a research article and formatting bibliographies, were presented. A demonstration of Zotero®, a freely available reference management program, included the salient features of the software, adding references from PubMed using PubMed ID, inserting citations and formatting using different styles.

Writing experimental protocols

The workshop systematically instructed the participants in writing ‘ experimental protocols ’ in six disciplines of Pharmaceutical Sciences.: (1) Pharmaceutical Chemistry (presented by Dr. P. V. Bharatam, NIPER, Mohali, Punjab); (2) Pharmacology (presented by Dr. G. Jagadeesh and Dr. P. Balakumar); (3) Pharmaceutics (presented by Dr. Jayant Khandare, Piramal Life Sciences, Mumbai); (4) Pharmacy Practice (presented by Dr. Shobha Hiremath, Al-Ameen College of Pharmacy, Bengaluru); (5) Pharmacognosy and Phytochemistry (presented by Dr. Salma Khanam, Al-Ameen College of Pharmacy, Bengaluru); and (6) Pharmaceutical Analysis (presented by Dr. Saranjit Singh, NIPER, Mohali, Punjab). The purpose of the research plan is to describe the what (Specific Aims/Objectives), why (Background and Significance), and how (Design and Methods) of the proposal.

The research plan should answer the following questions: (a) what do you intend to do; (b) what has already been done in general, and what have other researchers done in the field; (c) why is this worth doing; (d) how is it innovative; (e) what will this new work add to existing knowledge; and (f) how will the research be accomplished?

In general, the format used by the faculty in all subjects is shown in Table 2 .

Elements of a research protocol

Biostatistics

Biostatistics is a key component of biomedical research. Highly reputed journals like The Lancet, BMJ, Journal of the American Medical Association, and many other biomedical journals include biostatisticians on their editorial board or reviewers list. This indicates that a great importance is given for learning and correctly employing appropriate statistical methods in biomedical research. The post-lunch session on day 1 of the workshop was largely committed to discussion on ‘ Basic biostatistics .’ Dr. R. Raveendran (JIPMER, Puducherry) and Dr. Avijit Hazra (PGIMER, Kolkata) reviewed, in parallel sessions, descriptive statistics, probability concepts, sample size calculation, choosing a statistical test, confidence intervals, hypothesis testing and ‘ P ’ values, parametric and non-parametric statistical tests, including analysis of variance (ANOVA), t tests, Chi-square test, type I and type II errors, correlation and regression, and summary statistics. This was followed by a practice and demonstration session. Statistics CD, compiled by Dr. Raveendran, was distributed to the participants before the session began and was demonstrated live. Both speakers worked on a variety of problems that involved both clinical and experimental data. They discussed through examples the experimental designs encountered in a variety of studies and statistical analyses performed for different types of data. For the benefit of readers, we have summarized statistical tests applied frequently for different experimental designs and post-hoc tests [ Figure 1 ].

Conceptual framework for statistical analyses of data. Of the two kinds of variables, qualitative (categorical) and quantitative (numerical), qualitative variables (nominal or ordinal) are not normally distributed. Numerical data that come from normal distributions are analyzed using parametric tests, if not; the data are analyzed using non-parametric tests. The most popularly used Student's t -test compares the means of two populations, data for this test could be paired or unpaired. One-way analysis of variance (ANOVA) is used to compare the means of three or more independent populations that are normally distributed. Applying t test repeatedly in pair (multiple comparison), to compare the means of more than two populations, will increase the probability of type I error (false positive). In this case, for proper interpretation, we need to adjust the P values. Repeated measures ANOVA is used to compare the population means if more than two observations coming from same subject over time. The null hypothesis is rejected with a ‘ P ’ value of less than 0.05, and the difference in population means is considered to be statistically significant. Subsequently, appropriate post-hoc tests are used for pairwise comparisons of population means. Two-way or three-way ANOVA are considered if two (diet, dose) or three (diet, dose, strain) independent factors, respectively, are analyzed in an experiment (not described in the Figure). Categorical nominal unmatched variables (counts or frequencies) are analyzed by Chi-square test (not shown in the Figure)

Research and publication ethics

The legitimate pursuit of scientific creativity is unfortunately being marred by a simultaneous increase in scientific misconduct. A disproportionate share of allegations involves scientists of many countries, and even from respected laboratories. Misconduct destroys faith in science and scientists and creates a hierarchy of fraudsters. Investigating misconduct also steals valuable time and resources. In spite of these facts, most researchers are not aware of publication ethics.

Day 1 of the workshop ended with a presentation on ‘ research and publication ethics ’ by Dr. M. K. Unnikrishnan (College of Pharmaceutical Sciences, Manipal University, Manipal). He spoke on the essentials of publication ethics that included plagiarism (attempting to take credit of the work of others), self-plagiarism (multiple publications by an author on the same content of work with slightly different wordings), falsification (manipulation of research data and processes and omitting critical data or results), gift authorship (guest authorship), ghostwriting (someone other than the named author (s) makes a major contribution), salami publishing (publishing many papers, with minor differences, from the same study), and sabotage (distracting the research works of others to halt their research completion). Additionally, Dr. Unnikrishnan pointed out the ‘ Ingelfinger rule ’ of stipulating that a scientist must not submit the same original research in two different journals. He also advised the audience that authorship is not just credit for the work but also responsibility for scientific contents of a paper. Although some Indian Universities are instituting preventive measures (e.g., use of plagiarism detecting software, Shodhganga digital archiving of doctoral theses), Dr. Unnikrishnan argued for a great need to sensitize young researchers on the nature and implications of scientific misconduct. Finally, he discussed methods on how editors and peer reviewers should ethically conduct themselves while managing a manuscript for publication.

SCIENTIFIC COMMUNICATION: THE KEY TO SUCCESSFUL SELLING OF FINDINGS

Research outcomes are measured through quality publications. Scientists must not only ‘do’ science but must ‘write’ science. The story of the project must be told in a clear, simple language weaving in previous work done in the field, answering the research question, and addressing the hypothesis set forth at the beginning of the study. Scientific publication is an organic process of planning, researching, drafting, revising, and updating the current knowledge for future perspectives. Writing a research paper is no easier than the research itself. The lectures of Day 2 of the workshop dealt with the basic elements and logistics of writing a scientific paper.

An overview of paper structure and thesis writing

Dr. Amitabh Prakash (Adis, Auckland, New Zealand) spoke on ‘ Learning how to write a good scientific paper .’ His presentation described the essential components of an original research paper and thesis (e.g., introduction, methods, results, and discussion [IMRaD]) and provided guidance on the correct order, in which data should appear within these sections. The characteristics of a good abstract and title and the creation of appropriate key words were discussed. Dr. Prakash suggested that the ‘title of a paper’ might perhaps have a chance to make a good impression, and the title might be either indicative (title that gives the purpose of the study) or declarative (title that gives the study conclusion). He also suggested that an abstract is a succinct summary of a research paper, and it should be specific, clear, and concise, and should have IMRaD structure in brief, followed by key words. Selection of appropriate papers to be cited in the reference list was also discussed. Various unethical authorships were enumerated, and ‘The International Committee of Medical Journal Editors (ICMJE) criteria for authorship’ was explained ( http://www.icmje.org/ethical_1author.html ; also see Table 1 in reference #9). The session highlighted the need for transparency in medical publication and provided a clear description of items that needed to be included in the ‘Disclosures’ section (e.g., sources of funding for the study and potential conflicts of interest of all authors, etc.) and ‘Acknowledgements’ section (e.g., writing assistance and input from all individuals who did not meet the authorship criteria). The final part of the presentation was devoted to thesis writing, and Dr. Prakash provided the audience with a list of common mistakes that are frequently encountered when writing a manuscript.

The backbone of a study is description of results through Text, Tables, and Figures. Dr. S. B. Deshpande (Institute of Medical Sciences, Banaras Hindu University, Varanasi, India) spoke on ‘ Effective Presentation of Results .’ The Results section deals with the observations made by the authors and thus, is not hypothetical. This section is subdivided into three segments, that is, descriptive form of the Text, providing numerical data in Tables, and visualizing the observations in Graphs or Figures. All these are arranged in a sequential order to address the question hypothesized in the Introduction. The description in Text provides clear content of the findings highlighting the observations. It should not be the repetition of facts in tables or graphs. Tables are used to summarize or emphasize descriptive content in the text or to present the numerical data that are unrelated. Illustrations should be used when the evidence bearing on the conclusions of a paper cannot be adequately presented in a written description or in a Table. Tables or Figures should relate to each other logically in sequence and should be clear by themselves. Furthermore, the discussion is based entirely on these observations. Additionally, how the results are applied to further research in the field to advance our understanding of research questions was discussed.

Dr. Peush Sahni (All-India Institute of Medical Sciences, New Delhi) spoke on effectively ‘ structuring the Discussion ’ for a research paper. The Discussion section deals with a systematic interpretation of study results within the available knowledge. He said the section should begin with the most important point relating to the subject studied, focusing on key issues, providing link sentences between paragraphs, and ensuring the flow of text. Points were made to avoid history, not repeat all the results, and provide limitations of the study. The strengths and novel findings of the study should be provided in the discussion, and it should open avenues for future research and new questions. The Discussion section should end with a conclusion stating the summary of key findings. Dr. Sahni gave an example from a published paper for writing a Discussion. In another presentation titled ‘ Writing an effective title and the abstract ,’ Dr. Sahni described the important components of a good title, such as, it should be simple, concise, informative, interesting and eye-catching, accurate and specific about the paper's content, and should state the subject in full indicating study design and animal species. Dr. Sahni explained structured (IMRaD) and unstructured abstracts and discussed a few selected examples with the audience.

Language and style in publication

The next lecture of Dr. Amitabh Prakash on ‘ Language and style in scientific writing: Importance of terseness, shortness and clarity in writing ’ focused on the actual sentence construction, language, grammar and punctuation in scientific manuscripts. His presentation emphasized the importance of brevity and clarity in the writing of manuscripts describing biomedical research. Starting with a guide to the appropriate construction of sentences and paragraphs, attendees were given a brief overview of the correct use of punctuation with interactive examples. Dr. Prakash discussed common errors in grammar and proactively sought audience participation in correcting some examples. Additional discussion was centered on discouraging the use of redundant and expendable words, jargon, and the use of adjectives with incomparable words. The session ended with a discussion of words and phrases that are commonly misused (e.g., data vs . datum, affect vs . effect, among vs . between, dose vs . dosage, and efficacy/efficacious vs . effective/effectiveness) in biomedical research manuscripts.

Working with journals

The appropriateness in selecting the journal for submission and acceptance of the manuscript should be determined by the experience of an author. The corresponding author must have a rationale in choosing the appropriate journal, and this depends upon the scope of the study and the quality of work performed. Dr. Amitabh Prakash spoke on ‘ Working with journals: Selecting a journal, cover letter, peer review process and impact factor ’ by instructing the audience in assessing the true value of a journal, understanding principles involved in the peer review processes, providing tips on making an initial approach to the editorial office, and drafting an appropriate cover letter to accompany the submission. His presentation defined the metrics that are most commonly used to measure journal quality (e.g., impact factor™, Eigenfactor™ score, Article Influence™ score, SCOPUS 2-year citation data, SCImago Journal Rank, h-Index, etc.) and guided attendees on the relative advantages and disadvantages of using each metric. Factors to consider when assessing journal quality were discussed, and the audience was educated on the ‘green’ and ‘gold’ open access publication models. Various peer review models (e.g., double-blind, single-blind, non-blind) were described together with the role of the journal editor in assessing manuscripts and selecting suitable reviewers. A typical checklist sent to referees was shared with the attendees, and clear guidance was provided on the best way to address referee feedback. The session concluded with a discussion of the potential drawbacks of the current peer review system.

Poster and oral presentations at conferences

Posters have become an increasingly popular mode of presentation at conferences, as it can accommodate more papers per meeting, has no time constraint, provides a better presenter-audience interaction, and allows one to select and attend papers of interest. In Figure 2 , we provide instructions, design, and layout in preparing a scientific poster. In the final presentation, Dr. Sahni provided the audience with step-by-step instructions on how to write and format posters for layout, content, font size, color, and graphics. Attendees were given specific guidance on the format of text on slides, the use of color, font type and size, and the use of illustrations and multimedia effects. Moreover, the importance of practical tips while delivering oral or poster presentation was provided to the audience, such as speak slowly and clearly, be informative, maintain eye contact, and listen to the questions from judges/audience carefully before coming up with an answer.

Guidelines and design to scientific poster presentation. The objective of scientific posters is to present laboratory work in scientific meetings. A poster is an excellent means of communicating scientific work, because it is a graphic representation of data. Posters should have focus points, and the intended message should be clearly conveyed through simple sections: Text, Tables, and Graphs. Posters should be clear, succinct, striking, and eye-catching. Colors should be used only where necessary. Use one font (Arial or Times New Roman) throughout. Fancy fonts should be avoided. All headings should have font size of 44, and be in bold capital letters. Size of Title may be a bit larger; subheading: Font size of 36, bold and caps. References and Acknowledgments, if any, should have font size of 24. Text should have font size between 24 and 30, in order to be legible from a distance of 3 to 6 feet. Do not use lengthy notes

PANEL DISCUSSION: FEEDBACK AND COMMENTS BY PARTICIPANTS

After all the presentations were made, Dr. Jagadeesh began a panel discussion that included all speakers. The discussion was aimed at what we do currently and could do in the future with respect to ‘developing a research question and then writing an effective thesis proposal/protocol followed by publication.’ Dr. Jagadeesh asked the following questions to the panelists, while receiving questions/suggestions from the participants and panelists.

• Does a Post-Graduate or Ph.D. student receive adequate training, either through an institutional course, a workshop of the present nature, or from the guide?
• Are these Post-Graduates self-taught (like most of us who learnt the hard way)?
• How are these guides trained? How do we train them to become more efficient mentors?
• Does a Post-Graduate or Ph.D. student struggle to find a method (s) to carry out studies? To what extent do seniors/guides help a post graduate overcome technical difficulties? How difficult is it for a student to find chemicals, reagents, instruments, and technical help in conducting studies?
• Analyses of data and interpretation: Most students struggle without adequate guidance.
• Thesis and publications frequently feature inadequate/incorrect statistical analyses and representation of data in tables/graphs. The student, their guide, and the reviewers all share equal responsibility.
• Who initiates and drafts the research paper? The Post-Graduate or their guide?
• What kind of assistance does a Post-Graduate get from the guide in finalizing a paper for publication?
• Does the guide insist that each Post-Graduate thesis yield at least one paper, and each Ph.D. thesis more than two papers, plus a review article?

The panelists and audience expressed a variety of views, but were unable to arrive at a decisive conclusion.

WHAT HAVE THE PARTICIPANTS LEARNED?

At the end of this fast-moving two-day workshop, the participants had opportunities in learning the following topics:

• Sequential steps in developing a study protocol, from choosing a research topic to developing research questions and a hypothesis.
• Study protocols on different topics in their subject of specialization
• Searching and reviewing the literature
• Appropriate statistical analyses in biomedical research
• Scientific ethics in publication
• Writing and understanding the components of a research paper (IMRaD)
• Recognizing the value of good title, running title, abstract, key words, etc
• Importance of Tables and Figures in the Results section, and their importance in describing findings
• Evidence-based Discussion in a research paper
• Language and style in writing a paper and expert tips on getting it published
• Presentation of research findings at a conference (oral and poster).

Overall, the workshop was deemed very helpful to participants. The participants rated the quality of workshop from “ satisfied ” to “ very satisfied .” A significant number of participants were of the opinion that the time allotted for each presentation was short and thus, be extended from the present two days to four days with adequate time to ask questions. In addition, a ‘hands-on’ session should be introduced for writing a proposal and manuscript. A large number of attendees expressed their desire to attend a similar workshop, if conducted, in the near future.

ACKNOWLEDGMENT

We gratefully express our gratitude to the Organizing Committee, especially Professors K. Chinnasamy, B. G. Shivananda, N. Udupa, Jerad Suresh, Padma Parekh, A. P. Basavarajappa, Mr. S. V. Veerramani, Mr. J. Jayaseelan, and all volunteers of the SRM University. We thank Dr. Thomas Papoian (US FDA) for helpful comments on the manuscript.

The opinions expressed herein are those of Gowraganahalli Jagadeesh and do not necessarily reflect those of the US Food and Drug Administration

Source of Support: Nil

Conflict of Interest: None declared.

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3 The research process

In Chapter 1, we saw that scientific research is the process of acquiring scientific knowledge using the scientific method. But how is such research conducted? This chapter delves into the process of scientific research, and the assumptions and outcomes of the research process.

Paradigms of social research

Our design and conduct of research is shaped by our mental models, or frames of reference that we use to organise our reasoning and observations. These mental models or frames (belief systems) are called paradigms . The word ‘paradigm’ was popularised by Thomas Kuhn (1962) [1] in his book The structure of scientific r evolutions , where he examined the history of the natural sciences to identify patterns of activities that shape the progress of science. Similar ideas are applicable to social sciences as well, where a social reality can be viewed by different people in different ways, which may constrain their thinking and reasoning about the observed phenomenon. For instance, conservatives and liberals tend to have very different perceptions of the role of government in people’s lives, and hence, have different opinions on how to solve social problems. Conservatives may believe that lowering taxes is the best way to stimulate a stagnant economy because it increases people’s disposable income and spending, which in turn expands business output and employment. In contrast, liberals may believe that governments should invest more directly in job creation programs such as public works and infrastructure projects, which will increase employment and people’s ability to consume and drive the economy. Likewise, Western societies place greater emphasis on individual rights, such as one’s right to privacy, right of free speech, and right to bear arms. In contrast, Asian societies tend to balance the rights of individuals against the rights of families, organisations, and the government, and therefore tend to be more communal and less individualistic in their policies. Such differences in perspective often lead Westerners to criticise Asian governments for being autocratic, while Asians criticise Western societies for being greedy, having high crime rates, and creating a ‘cult of the individual’. Our personal paradigms are like ‘coloured glasses’ that govern how we view the world and how we structure our thoughts about what we see in the world.

Paradigms are often hard to recognise, because they are implicit, assumed, and taken for granted. However, recognising these paradigms is key to making sense of and reconciling differences in people’s perceptions of the same social phenomenon. For instance, why do liberals believe that the best way to improve secondary education is to hire more teachers, while conservatives believe that privatising education (using such means as school vouchers) is more effective in achieving the same goal? Conservatives place more faith in competitive markets (i.e., in free competition between schools competing for education dollars), while liberals believe more in labour (i.e., in having more teachers and schools). Likewise, in social science research, to understand why a certain technology was successfully implemented in one organisation, but failed miserably in another, a researcher looking at the world through a ‘rational lens’ will look for rational explanations of the problem, such as inadequate technology or poor fit between technology and the task context where it is being utilised. Another researcher looking at the same problem through a ‘social lens’ may seek out social deficiencies such as inadequate user training or lack of management support. Those seeing it through a ‘political lens’ will look for instances of organisational politics that may subvert the technology implementation process. Hence, subconscious paradigms often constrain the concepts that researchers attempt to measure, their observations, and their subsequent interpretations of a phenomenon. However, given the complex nature of social phenomena, it is possible that all of the above paradigms are partially correct, and that a fuller understanding of the problem may require an understanding and application of multiple paradigms.

Two popular paradigms today among social science researchers are positivism and post-positivism. Positivism , based on the works of French philosopher Auguste Comte (1798–1857), was the dominant scientific paradigm until the mid-twentieth century. It holds that science or knowledge creation should be restricted to what can be observed and measured. Positivism tends to rely exclusively on theories that can be directly tested. Though positivism was originally an attempt to separate scientific inquiry from religion (where the precepts could not be objectively observed), positivism led to empiricism or a blind faith in observed data and a rejection of any attempt to extend or reason beyond observable facts. Since human thoughts and emotions could not be directly measured, they were not considered to be legitimate topics for scientific research. Frustrations with the strictly empirical nature of positivist philosophy led to the development of post-positivism (or postmodernism) during the mid-late twentieth century. Post-positivism argues that one can make reasonable inferences about a phenomenon by combining empirical observations with logical reasoning. Post-positivists view science as not certain but probabilistic (i.e., based on many contingencies), and often seek to explore these contingencies to understand social reality better. The post-positivist camp has further fragmented into subjectivists , who view the world as a subjective construction of our subjective minds rather than as an objective reality, and critical realists , who believe that there is an external reality that is independent of a person’s thinking but we can never know such reality with any degree of certainty.

Burrell and Morgan (1979), [2] in their seminal book Sociological p aradigms and organizational a nalysis , suggested that the way social science researchers view and study social phenomena is shaped by two fundamental sets of philosophical assumptions: ontology and epistemology. Ontology refers to our assumptions about how we see the world (e.g., does the world consist mostly of social order or constant change?). Epistemology refers to our assumptions about the best way to study the world (e.g., should we use an objective or subjective approach to study social reality?). Using these two sets of assumptions, we can categorise social science research as belonging to one of four categories (see Figure 3.1).

If researchers view the world as consisting mostly of social order (ontology) and hence seek to study patterns of ordered events or behaviours, and believe that the best way to study such a world is using an objective approach (epistemology) that is independent of the person conducting the observation or interpretation, such as by using standardised data collection tools like surveys, then they are adopting a paradigm of functionalism . However, if they believe that the best way to study social order is though the subjective interpretation of participants, such as by interviewing different participants and reconciling differences among their responses using their own subjective perspectives, then they are employing an interpretivism paradigm. If researchers believe that the world consists of radical change and seek to understand or enact change using an objectivist approach, then they are employing a radical structuralism paradigm. If they wish to understand social change using the subjective perspectives of the participants involved, then they are following a radical humanism paradigm.

To date, the majority of social science research has emulated the natural sciences, and followed the functionalist paradigm. Functionalists believe that social order or patterns can be understood in terms of their functional components, and therefore attempt to break down a problem into small components and studying one or more components in detail using objectivist techniques such as surveys and experimental research. However, with the emergence of post-positivist thinking, a small but growing number of social science researchers are attempting to understand social order using subjectivist techniques such as interviews and ethnographic studies. Radical humanism and radical structuralism continues to represent a negligible proportion of social science research, because scientists are primarily concerned with understanding generalisable patterns of behaviour, events, or phenomena, rather than idiosyncratic or changing events. Nevertheless, if you wish to study social change, such as why democratic movements are increasingly emerging in Middle Eastern countries, or why this movement was successful in Tunisia, took a longer path to success in Libya, and is still not successful in Syria, then perhaps radical humanism is the right approach for such a study. Social and organisational phenomena generally consist of elements of both order and change. For instance, organisational success depends on formalised business processes, work procedures, and job responsibilities, while being simultaneously constrained by a constantly changing mix of competitors, competing products, suppliers, and customer base in the business environment. Hence, a holistic and more complete understanding of social phenomena such as why some organisations are more successful than others, requires an appreciation and application of a multi-paradigmatic approach to research.

Overview of the research process

So how do our mental paradigms shape social science research? At its core, all scientific research is an iterative process of observation, rationalisation, and validation. In the observation phase, we observe a natural or social phenomenon, event, or behaviour that interests us. In the rationalisation phase, we try to make sense of the observed phenomenon, event, or behaviour by logically connecting the different pieces of the puzzle that we observe, which in some cases, may lead to the construction of a theory. Finally, in the validation phase, we test our theories using a scientific method through a process of data collection and analysis, and in doing so, possibly modify or extend our initial theory. However, research designs vary based on whether the researcher starts at observation and attempts to rationalise the observations (inductive research), or whether the researcher starts at an ex ante rationalisation or a theory and attempts to validate the theory (deductive research). Hence, the observation-rationalisation-validation cycle is very similar to the induction-deduction cycle of research discussed in Chapter 1.

Most traditional research tends to be deductive and functionalistic in nature. Figure 3.2 provides a schematic view of such a research project. This figure depicts a series of activities to be performed in functionalist research, categorised into three phases: exploration, research design, and research execution. Note that this generalised design is not a roadmap or flowchart for all research. It applies only to functionalistic research, and it can and should be modified to fit the needs of a specific project.

The first phase of research is exploration . This phase includes exploring and selecting research questions for further investigation, examining the published literature in the area of inquiry to understand the current state of knowledge in that area, and identifying theories that may help answer the research questions of interest.

The first step in the exploration phase is identifying one or more research questions dealing with a specific behaviour, event, or phenomena of interest. Research questions are specific questions about a behaviour, event, or phenomena of interest that you wish to seek answers for in your research. Examples include determining which factors motivate consumers to purchase goods and services online without knowing the vendors of these goods or services, how can we make high school students more creative, and why some people commit terrorist acts. Research questions can delve into issues of what, why, how, when, and so forth. More interesting research questions are those that appeal to a broader population (e.g., ‘how can firms innovate?’ is a more interesting research question than ‘how can Chinese firms innovate in the service-sector?’), address real and complex problems (in contrast to hypothetical or ‘toy’ problems), and where the answers are not obvious. Narrowly focused research questions (often with a binary yes/no answer) tend to be less useful and less interesting and less suited to capturing the subtle nuances of social phenomena. Uninteresting research questions generally lead to uninteresting and unpublishable research findings.

The next step is to conduct a literature review of the domain of interest. The purpose of a literature review is three-fold: one, to survey the current state of knowledge in the area of inquiry, two, to identify key authors, articles, theories, and findings in that area, and three, to identify gaps in knowledge in that research area. Literature review is commonly done today using computerised keyword searches in online databases. Keywords can be combined using Boolean operators such as ‘and’ and ‘or’ to narrow down or expand the search results. Once a shortlist of relevant articles is generated from the keyword search, the researcher must then manually browse through each article, or at least its abstract, to determine the suitability of that article for a detailed review. Literature reviews should be reasonably complete, and not restricted to a few journals, a few years, or a specific methodology. Reviewed articles may be summarised in the form of tables, and can be further structured using organising frameworks such as a concept matrix. A well-conducted literature review should indicate whether the initial research questions have already been addressed in the literature (which would obviate the need to study them again), whether there are newer or more interesting research questions available, and whether the original research questions should be modified or changed in light of the findings of the literature review. The review can also provide some intuitions or potential answers to the questions of interest and/or help identify theories that have previously been used to address similar questions.

Since functionalist (deductive) research involves theory-testing, the third step is to identify one or more theories can help address the desired research questions. While the literature review may uncover a wide range of concepts or constructs potentially related to the phenomenon of interest, a theory will help identify which of these constructs is logically relevant to the target phenomenon and how. Forgoing theories may result in measuring a wide range of less relevant, marginally relevant, or irrelevant constructs, while also minimising the chances of obtaining results that are meaningful and not by pure chance. In functionalist research, theories can be used as the logical basis for postulating hypotheses for empirical testing. Obviously, not all theories are well-suited for studying all social phenomena. Theories must be carefully selected based on their fit with the target problem and the extent to which their assumptions are consistent with that of the target problem. We will examine theories and the process of theorising in detail in the next chapter.

The next phase in the research process is research design . This process is concerned with creating a blueprint of the actions to take in order to satisfactorily answer the research questions identified in the exploration phase. This includes selecting a research method, operationalising constructs of interest, and devising an appropriate sampling strategy.

Operationalisation is the process of designing precise measures for abstract theoretical constructs. This is a major problem in social science research, given that many of the constructs, such as prejudice, alienation, and liberalism are hard to define, let alone measure accurately. Operationalisation starts with specifying an ‘operational definition’ (or ‘conceptualization’) of the constructs of interest. Next, the researcher can search the literature to see if there are existing pre-validated measures matching their operational definition that can be used directly or modified to measure their constructs of interest. If such measures are not available or if existing measures are poor or reflect a different conceptualisation than that intended by the researcher, new instruments may have to be designed for measuring those constructs. This means specifying exactly how exactly the desired construct will be measured (e.g., how many items, what items, and so forth). This can easily be a long and laborious process, with multiple rounds of pre-tests and modifications before the newly designed instrument can be accepted as ‘scientifically valid’. We will discuss operationalisation of constructs in a future chapter on measurement.

Simultaneously with operationalisation, the researcher must also decide what research method they wish to employ for collecting data to address their research questions of interest. Such methods may include quantitative methods such as experiments or survey research or qualitative methods such as case research or action research, or possibly a combination of both. If an experiment is desired, then what is the experimental design? If this is a survey, do you plan a mail survey, telephone survey, web survey, or a combination? For complex, uncertain, and multifaceted social phenomena, multi-method approaches may be more suitable, which may help leverage the unique strengths of each research method and generate insights that may not be obtained using a single method.

Researchers must also carefully choose the target population from which they wish to collect data, and a sampling strategy to select a sample from that population. For instance, should they survey individuals or firms or workgroups within firms? What types of individuals or firms do they wish to target? Sampling strategy is closely related to the unit of analysis in a research problem. While selecting a sample, reasonable care should be taken to avoid a biased sample (e.g., sample based on convenience) that may generate biased observations. Sampling is covered in depth in a later chapter.

At this stage, it is often a good idea to write a research proposal detailing all of the decisions made in the preceding stages of the research process and the rationale behind each decision. This multi-part proposal should address what research questions you wish to study and why, the prior state of knowledge in this area, theories you wish to employ along with hypotheses to be tested, how you intend to measure constructs, what research method is to be employed and why, and desired sampling strategy. Funding agencies typically require such a proposal in order to select the best proposals for funding. Even if funding is not sought for a research project, a proposal may serve as a useful vehicle for seeking feedback from other researchers and identifying potential problems with the research project (e.g., whether some important constructs were missing from the study) before starting data collection. This initial feedback is invaluable because it is often too late to correct critical problems after data is collected in a research study.

Having decided who to study (subjects), what to measure (concepts), and how to collect data (research method), the researcher is now ready to proceed to the research execution phase. This includes pilot testing the measurement instruments, data collection, and data analysis.

Pilot testing is an often overlooked but extremely important part of the research process. It helps detect potential problems in your research design and/or instrumentation (e.g., whether the questions asked are intelligible to the targeted sample), and to ensure that the measurement instruments used in the study are reliable and valid measures of the constructs of interest. The pilot sample is usually a small subset of the target population. After successful pilot testing, the researcher may then proceed with data collection using the sampled population. The data collected may be quantitative or qualitative, depending on the research method employed.

Following data collection, the data is analysed and interpreted for the purpose of drawing conclusions regarding the research questions of interest. Depending on the type of data collected (quantitative or qualitative), data analysis may be quantitative (e.g., employ statistical techniques such as regression or structural equation modelling) or qualitative (e.g., coding or content analysis).

The final phase of research involves preparing the final research report documenting the entire research process and its findings in the form of a research paper, dissertation, or monograph. This report should outline in detail all the choices made during the research process (e.g., theory used, constructs selected, measures used, research methods, sampling, etc.) and why, as well as the outcomes of each phase of the research process. The research process must be described in sufficient detail so as to allow other researchers to replicate your study, test the findings, or assess whether the inferences derived are scientifically acceptable. Of course, having a ready research proposal will greatly simplify and quicken the process of writing the finished report. Note that research is of no value unless the research process and outcomes are documented for future generations—such documentation is essential for the incremental progress of science.

Common mistakes in research

The research process is fraught with problems and pitfalls, and novice researchers often find, after investing substantial amounts of time and effort into a research project, that their research questions were not sufficiently answered, or that the findings were not interesting enough, or that the research was not of ‘acceptable’ scientific quality. Such problems typically result in research papers being rejected by journals. Some of the more frequent mistakes are described below.

Insufficiently motivated research questions. Often times, we choose our ‘pet’ problems that are interesting to us but not to the scientific community at large, i.e., it does not generate new knowledge or insight about the phenomenon being investigated. Because the research process involves a significant investment of time and effort on the researcher’s part, the researcher must be certain—and be able to convince others—that the research questions they seek to answer deal with real—and not hypothetical—problems that affect a substantial portion of a population and have not been adequately addressed in prior research.

Pursuing research fads. Another common mistake is pursuing ‘popular’ topics with limited shelf life. A typical example is studying technologies or practices that are popular today. Because research takes several years to complete and publish, it is possible that popular interest in these fads may die down by the time the research is completed and submitted for publication. A better strategy may be to study ‘timeless’ topics that have always persisted through the years.

Unresearchable problems. Some research problems may not be answered adequately based on observed evidence alone, or using currently accepted methods and procedures. Such problems are best avoided. However, some unresearchable, ambiguously defined problems may be modified or fine tuned into well-defined and useful researchable problems.

Favoured research methods. Many researchers have a tendency to recast a research problem so that it is amenable to their favourite research method (e.g., survey research). This is an unfortunate trend. Research methods should be chosen to best fit a research problem, and not the other way around.

Blind data mining. Some researchers have the tendency to collect data first (using instruments that are already available), and then figure out what to do with it. Note that data collection is only one step in a long and elaborate process of planning, designing, and executing research. In fact, a series of other activities are needed in a research process prior to data collection. If researchers jump into data collection without such elaborate planning, the data collected will likely be irrelevant, imperfect, or useless, and their data collection efforts may be entirely wasted. An abundance of data cannot make up for deficits in research planning and design, and particularly, for the lack of interesting research questions.

• Kuhn, T. (1962). The structure of scientific revolutions . Chicago: University of Chicago Press. ↵
• Burrell, G. & Morgan, G. (1979). Sociological paradigms and organisational analysis: elements of the sociology of corporate life . London: Heinemann Educational. ↵

Social Science Research: Principles, Methods and Practices (Revised edition) Copyright © 2019 by Anol Bhattacherjee is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Basic Steps in the Research Process

The following steps outline a simple and effective strategy for writing a research paper. Depending on your familiarity with the topic and the challenges you encounter along the way, you may need to rearrange these steps.

Step 1: Identify and develop your topic

Selecting a topic can be the most challenging part of a research assignment. Since this is the very first step in writing a paper, it is vital that it be done correctly. Here are some tips for selecting a topic:

• Select a topic within the parameters set by the assignment. Many times your instructor will give you clear guidelines as to what you can and cannot write about. Failure to work within these guidelines may result in your proposed paper being deemed unacceptable by your instructor.
• Select a topic of personal interest to you and learn more about it. The research for and writing of a paper will be more enjoyable if you are writing about something that you find interesting.
• Select a topic for which you can find a manageable amount of information. Do a preliminary search of information sources to determine whether existing sources will meet your needs. If you find too much information, you may need to narrow your topic; if you find too little, you may need to broaden your topic.
• Be original. Your instructor reads hundreds of research papers every year, and many of them are on the same topics (topics in the news at the time, controversial issues, subjects for which there is ample and easily accessed information). Stand out from your classmates by selecting an interesting and off-the-beaten-path topic.
• Still can't come up with a topic to write about? See your instructor for advice.

Once you have identified your topic, it may help to state it as a question. For example, if you are interested in finding out about the epidemic of obesity in the American population, you might pose the question "What are the causes of obesity in America ?" By posing your subject as a question you can more easily identify the main concepts or keywords to be used in your research.

Step 2 : Do a preliminary search for information

Before beginning your research in earnest, do a preliminary search to determine whether there is enough information out there for your needs and to set the context of your research. Look up your keywords in the appropriate titles in the library's Reference collection (such as encyclopedias and dictionaries) and in other sources such as our catalog of books, periodical databases, and Internet search engines. Additional background information may be found in your lecture notes, textbooks, and reserve readings. You may find it necessary to adjust the focus of your topic in light of the resources available to you.

Step 3: Locate materials

With the direction of your research now clear to you, you can begin locating material on your topic. There are a number of places you can look for information:

If you are looking for books, do a subject search in One Search . A Keyword search can be performed if the subject search doesn't yield enough information. Print or write down the citation information (author, title,etc.) and the location (call number and collection) of the item(s). Note the circulation status. When you locate the book on the shelf, look at the books located nearby; similar items are always shelved in the same area. The Aleph catalog also indexes the library's audio-visual holdings.

Use the library's  electronic periodical databases  to find magazine and newspaper articles. Choose the databases and formats best suited to your particular topic; ask at the librarian at the Reference Desk if you need help figuring out which database best meets your needs. Many of the articles in the databases are available in full-text format.

Use search engines ( Google ,  Yahoo , etc.) and subject directories to locate materials on the Internet. Check the  Internet Resources  section of the NHCC Library web site for helpful subject links.

Step 4: Evaluate your sources

See the  CARS Checklist for Information Quality   for tips on evaluating the authority and quality of the information you have located. Your instructor expects that you will provide credible, truthful, and reliable information and you have every right to expect that the sources you use are providing the same. This step is especially important when using Internet resources, many of which are regarded as less than reliable.

Step 5: Make notes

Consult the resources you have chosen and note the information that will be useful in your paper. Be sure to document all the sources you consult, even if you there is a chance you may not use that particular source. The author, title, publisher, URL, and other information will be needed later when creating a bibliography.

Step 6: Write your paper

Begin by organizing the information you have collected. The next step is the rough draft, wherein you get your ideas on paper in an unfinished fashion. This step will help you organize your ideas and determine the form your final paper will take. After this, you will revise the draft as many times as you think necessary to create a final product to turn in to your instructor.

Step 7: Cite your sources properly

Give credit where credit is due; cite your sources.

Citing or documenting the sources used in your research serves two purposes: it gives proper credit to the authors of the materials used, and it allows those who are reading your work to duplicate your research and locate the sources that you have listed as references. The  MLA  and the  APA  Styles are two popular citation formats.

Failure to cite your sources properly is plagiarism. Plagiarism is avoidable!

Step 8: Proofread

The final step in the process is to proofread the paper you have created. Read through the text and check for any errors in spelling, grammar, and punctuation. Make sure the sources you used are cited properly. Make sure the message that you want to get across to the reader has been thoroughly stated.

Additional research tips:

• Work from the general to the specific -- find background information first, then use more specific sources.
• Don't forget print sources -- many times print materials are more easily accessed and every bit as helpful as online resources.
• The library has books on the topic of writing research papers at call number area LB 2369.
• If you have questions about the assignment, ask your instructor.
• If you have any questions about finding information in the library, ask the librarian.

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Different types of research articles

A guide for early career researchers.

In scholarly literature, there are many different kinds of articles published every year. Original research articles are often the first thing you think of when you hear the words ‘journal article’. In reality, research work often results in a whole mixture of different outputs and it’s not just the final research article that can be published.

Finding a home to publish supporting work in different formats can help you start publishing sooner, allowing you to build your publication record and research profile.

But before you do, it’s very important that you check the  instructions for authors  and the  aims and scope  of the journal(s) you’d like to submit to. These will tell you whether they accept the type of article you’re thinking of writing and what requirements they have around it.

Understanding the different kind of articles

There’s a huge variety of different types of articles – some unique to individual journals – so it’s important to explore your options carefully. While it would be impossible to cover every single article type here, below you’ll find a guide to the most common research articles and outputs you could consider submitting for publication.

Book review

Many academic journals publish book reviews, which aim to provide insight and opinion on recently published scholarly books. Writing book reviews is often a good way to begin academic writing. It can help you get your name known in your field and give you valuable experience of publishing before you write a full-length article.

If you’re keen to write a book review, a good place to start is looking for journals that publish or advertise the books they have available for review. Then it’s just a matter of putting yourself forward for one of them.

You can check whether a journal publishes book reviews by browsing previous issues or by seeing if a book review editor is listed on the editorial board. In addition, some journals publish other types of reviews, such as film, product, or exhibition reviews, so it’s worth bearing those in mind as options as well.

Get familiar with instructions for authors

Be prepared, speed up your submission, and make sure nothing is forgotten by understanding a journal’s individual requirements.

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Case report

A medical case report – also sometimes called a clinical case study – is an original short report that provides details of a single patient case.

Case reports include detailed information on the symptoms, signs, diagnosis, treatment, and follow-up of an individual patient. They remain one of the cornerstones of medical progress and provide many new ideas in medicine.

Depending on the journal, a case report doesn’t necessarily need to describe an especially novel or unusual case as there is benefit from collecting details of many standard cases.

Take a look at  F1000Research’s guidance on case reports , to understand more about what’s required in them. And don’t forget that for all studies involving human participants, informed written consent to take part in the research must be obtained from the participants –  find out more about consent to publish.

Clinical study

In medicine, a clinical study report is a type of article that provides in-depth detail on the methods and results of a clinical trial. They’re typically similar in length and format to original research articles.

Most journals now require that you register protocols for clinical trials you’re involved with in a publicly accessible registry. A list of eligible registries can be found on the  WHO International Clinical Trials Registry Platform (ICTRP) . Trials can also be registered at  clinicaltrials.gov  or the  EU Clinical Trials Register . Once registered, your trial will be assigned a clinical trial number (CTN).

Before you submit a clinical study, you’ll need to include clinical trial numbers and registration dates in the manuscript, usually in the abstract and methods sections.

Commentaries and letters to editors

Letters to editors, as well as ‘replies’ and ‘discussions’, are usually brief comments on topical issues of public and political interest (related to the research field of the journal), anecdotal material, or readers’ reactions to material published in the journal.

Commentaries are similar, though they may be slightly more in-depth, responding to articles recently published in the journal. There may be a ‘target article’ which various commentators are invited to respond to.

You’ll need to look through previous issues of any journal you’re interested in writing for and review the instructions for authors to see which types of these articles (if any) they accept.

Conference materials

Many of our medical journals  accept conference material supplements. These are open access peer-reviewed, permanent, and citable publications within the journal. Conference material supplements record research around a common thread, as presented at a workshop, congress, or conference, for the scientific record. They can include the following types of articles:

Poster extracts

Conference abstracts

Presentation extracts

Find out more about submitting conference materials.

Data notes  are a short peer-reviewed article type that concisely describe research data stored in a repository. Publishing a data note can help you to maximize the impact of your data and gain appropriate credit for your research.

Data notes promote the potential reuse of research data and include details of why and how the data were created. They do not include any analysis but they can be linked to a research article incorporating analysis of the published dataset, as well as the results and conclusions.

F1000Research  enables you to publish your data note rapidly and openly via an author-centric platform. There is also a growing range of options for publishing data notes in Taylor & Francis journals, including in  All Life  and  Big Earth Data .

Read our guide to data notes to find out more.

Letters or short reports

Letters or short reports (sometimes known as brief communications or rapid communications) are brief reports of data from original research.

Editors publish these reports where they believe the data will be interesting to many researchers and could stimulate further research in the field. There are even entire journals dedicated to publishing letters.

As they’re relatively short, the format is useful for researchers with results that are time sensitive (for example, those in highly competitive or quickly-changing disciplines). This format often has strict length limits, so some experimental details may not be published until the authors write a full original research article.

Brief reports  (previously called Research Notes) are a type of short report published by  F1000Research  – part of the Taylor & Francis Group. To find out more about the requirements for a brief report, take a look at  F1000Research’s guidance .

Method article

A method article is a medium length peer-reviewed, research-focused article type that aims to answer a specific question. It also describes an advancement or development of current methodological approaches and research procedures (akin to a research article), following the standard layout for research articles. This includes new study methods, substantive modifications to existing methods, or innovative applications of existing methods to new models or scientific questions. These should include adequate and appropriate validation to be considered, and any datasets associated with the paper must publish all experimental controls and make full datasets available.  

Posters and slides

With F1000Research, you can publish scholarly posters and slides covering basic scientific, translational, and clinical research within the life sciences and medicine. You can find out more about how to publish posters and slides  on the F1000Research website .

Registered report

A  Registered Report  consists of two different kinds of articles: a study protocol and an original research article.

This is because the review process for Registered Reports is divided into two stages. In Stage 1, reviewers assess study protocols before data is collected. In Stage 2, reviewers consider the full published study as an original research article, including results and interpretation.

Taking this approach, you can get an in-principle acceptance of your research article before you start collecting data. We’ve got  further guidance on Registered Reports here , and you can also  read F1000Research’s guidance on preparing a Registered Report .

Research article

Original research articles are the most common type of journal article. They’re detailed studies reporting new work and are classified as primary literature.

You may find them referred to as original articles, research articles, research, or even just articles, depending on the journal.

Typically, especially in STEM subjects, these articles will include Abstract, Introduction, Methods, Results, Discussion, and Conclusion sections. However, you should always check the instructions for authors of your chosen journal to see whether it specifies how your article should be structured. If you’re planning to write an original research article, take a look at our guidance on  writing a journal article .

Review article

Review articles provide critical and constructive analysis of existing published literature in a field. They’re usually structured to provide a summary of existing literature, analysis, and comparison. Often, they identify specific gaps or problems and provide recommendations for future research.

Unlike original research articles, review articles are considered as secondary literature. This means that they generally don’t present new data from the author’s experimental work, but instead provide analysis or interpretation of a body of primary research on a specific topic. Secondary literature is an important part of the academic ecosystem because it can help explain new or different positions and ideas about primary research, identify gaps in research around a topic, or spot important trends that one individual research article may not.

There are 3 main types of review article

Literature review

Presents the current knowledge including substantive findings as well as theoretical and methodological contributions to a particular topic.

Systematic review

Identifies, appraises and synthesizes all the empirical evidence that meets pre-specified eligibility criteria to answer a specific research question. Researchers conducting systematic reviews use explicit, systematic methods that are selected with a view aimed at minimizing bias, to produce more reliable findings to inform decision making.

Meta-analysis

A quantitative, formal, epidemiological study design used to systematically assess the results of previous research to derive conclusions about that body of research. Typically, but not necessarily, a meta-analysis study is based on randomized, controlled clinical trials.

Take a look at our guide to  writing a review article  for more guidance on what’s required.

Software tool articles

A  software tool article  – published by  F1000Research  – describes the rationale for the development of a new software tool and details of the code used for its construction.

The article should provide examples of suitable input data sets and include an example of the output that can be expected from the tool and how this output should be interpreted. Software tool articles submitted to F1000Research should be written in open access programming languages. Take a look at  their guidance  for more details on what’s required of a software tool article.

Further resources

Ready to write your article, but not sure where to start?

For more guidance on how to prepare and write an article for a journal you can download the  Writing your paper eBook .

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Stages in the research process

Affiliation.

• 1 Faculty of Health, Social Care and Education, Anglia Ruskin University, Cambridge, England.
• PMID: 25736674
• DOI: 10.7748/ns.29.27.44.e8745

Research should be conducted in a systematic manner, allowing the researcher to progress from a general idea or clinical problem to scientifically rigorous research findings that enable new developments to improve clinical practice. Using a research process helps guide this process. This article is the first in a 26-part series on nursing research. It examines the process that is common to all research, and provides insights into ten different stages of this process: developing the research question, searching and evaluating the literature, selecting the research approach, selecting research methods, gaining access to the research site and data, pilot study, sampling and recruitment, data collection, data analysis, and dissemination of results and implementation of findings.

Keywords: Clinical nursing research; nursing research; qualitative research; quantitative research; research; research ethics; research methodology; research process; sampling.

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• Getting involved in research: lessons learned from a novice researcher. Lawrence C. Lawrence C. AWHONN Lifelines. 2006 Dec-2007 Jan;10(6):463-5. doi: 10.1111/j.1552-6356.2006.00094.x. AWHONN Lifelines. 2006. PMID: 17207208 No abstract available.
• Data collection methods series. Part 5: Training for data collection. Harwood EM, Hutchinson E. Harwood EM, et al. J Wound Ostomy Continence Nurs. 2009 Sep-Oct;36(5):476-81. doi: 10.1097/WON.0b013e3181b35248. J Wound Ostomy Continence Nurs. 2009. PMID: 19752655 No abstract available.
• Mixed methods research. Halcomb E, Hickman L. Halcomb E, et al. Nurs Stand. 2015 Apr 8;29(32):41-7. doi: 10.7748/ns.29.32.41.e8858. Nurs Stand. 2015. PMID: 25850508 Review.
• The complexities of nursing research with men. White A, Johnson M. White A, et al. Int J Nurs Stud. 1998 Feb-Apr;35(1-2):41-8. doi: 10.1016/s0020-7489(98)00010-8. Int J Nurs Stud. 1998. PMID: 9695009 Review.
• 'Snapshot in time': a cross-sectional study exploring stakeholder experiences with environmental scans in health services delivery research. Charlton P, Nagel DA, Azar R, Kean T, Campbell A, Lamontagne ME, Déry J, Kelly KJ, Fahim C. Charlton P, et al. BMJ Open. 2024 Feb 2;14(2):e075374. doi: 10.1136/bmjopen-2023-075374. BMJ Open. 2024. PMID: 38309766 Free PMC article.
• ChatGPT in academic writing: Maximizing its benefits and minimizing the risks. Mondal H, Mondal S. Mondal H, et al. Indian J Ophthalmol. 2023 Dec 1;71(12):3600-3606. doi: 10.4103/IJO.IJO_718_23. Epub 2023 Nov 20. Indian J Ophthalmol. 2023. PMID: 37991290 Free PMC article. Review.
• Formulating the Research Question and Framing the Hypothesis. Willis LD. Willis LD. Respir Care. 2023 Aug;68(8):1180-1185. doi: 10.4187/respcare.10975. Epub 2023 Apr 11. Respir Care. 2023. PMID: 37041024 Free PMC article.
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Research Methods

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Research Process

Dissertation markers expect you to include the explanation of research process in methodology chapter. A typical research process comprises the following stages:

1. Selecting the research area . Your dissertation marker expects you to state that you have selected the research area due to professional and personal interests in the area and this statement must be true. Students often underestimate the importance of this first stage in the research process. If you find a research area and research problem that is genuinely interesting to you it is for sure that the whole process of writing your dissertation will be much easier. Therefore, it is never too early to start thinking about the research area for your dissertation.

2. Formulating research aim, objectives and research questions or developing hypotheses . The choice between the formulation of research questions and the development of hypotheses depends on your research approach as it is discussed further below in more details. Appropriate research aims and objectives or hypotheses usually result from several attempts and revisions.

Accordingly, you need to mention in your dissertation that you have revised your research aims and objectives or hypotheses during the research process several times to get their final versions. It is critically important that you get confirmation from your supervisor regarding your research questions or hypotheses before moving forward with the work.

3. Conducting the literature review . Literature review is usually the longest stage in the research process. Actually, the literature review starts even before the formulation of research aims and objective. This is because you have to check if exactly the same research problem has been addressed before and this task is a part of the literature review. Nevertheless, you will conduct the main part of the literature review after the formulation of research aim and objectives. You have to use a wide range of secondary data sources such as books, newspapers, magazines, journals, online articles etc.

4. Selecting data collection methods . Data collection method(s) need to be selected on the basis of critically analyzing advantages and disadvantages associated with several alternative methods. In studies involving primary data collection, you need to write about advantages and disadvantages of selected primary data collection method(s) in detailed manner in methodology.

5. Collecting the primary data . You will have to start primary data collection only after detailed preparation. Sampling is an important element of this stage. You may have to conduct pilot data collection if you chose questionnaire primary data collection method. Primary data collection is not a compulsory stage for all dissertations and you will skip this stage if you are conducting a desk-based research.

6. Data analysis . Analysis of data plays an important role in the achievement of research aim and objectives. This stage involves an extensive editing and coding of data. Data analysis methods vary between secondary and primary studies, as well as, between qualitative and quantitative studies. In data analysis coding of primary data plays an instrumental role to reduce sample group responses to a more manageable form for storage and future processing. Data analysis is discussed in Chapter 6 in great details.

7. Reaching conclusions . Conclusions relate to the level of achievement of research aims and objectives. In this final part of your dissertation you will have to justify why you think that research aims and objectives have been achieved. Conclusions also need to cover research limitations and suggestions for future research .

8. Completing the research . Following all of the stages described above, and organizing separate chapters into one file leads to the completion of the first draft. You need to prepare the first draft of your dissertation at least one month before the submission deadline. This is because you will need to have sufficient amount of time to address feedback to be provided by your supervisor.

Individual stages in the research process outlined above are interdependent and the sequence has to be maintained. Moreover, the process of any research tends to be iterative, meaning that you may have to return back to the previous stages of the research process several times for revisions and improvement. In other words, no stage of the research process is fully completed until the whole dissertation is completed.

John Dudovskiy

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Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts and meanings, use qualitative methods .
• If you want to analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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Scholarly Research Resources

• Topic Selection
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Scholarly Research Process

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The research process is a continuous cycle. Research does not follow a one-way linear progression; rather, it is a continuous process of checking and re-checking, evaluating and analyzing, and repeating the entire process over and over again. While painstaking, the research process is enables writers to become subject matter experts and draft a publishable article, comment, or case note.

There are many different ways to break down the research process. For our purposes, we’ve broken the process down into 6 steps:

1.  Analyze

First, establish the purpose of your research. What is your topic, question, or problem? Define the scope of your research, know what you are looking for, and avoid the rabbit holes. When researching it’s easy to get off topic and after hours of researching realize you’ve drifted too far away from your topic. By defining a specific scope—the scope will change throughout the process—you will find pertinent and relevant information for each stage of your research. You may have to do some preliminary, background research on the issue you are interested in before narrowing your scope.

2.  Determine Research Tools

The research tools you will use vary depending on what topic you are researching as well as what step in the research process you are on. Initially, you may look for secondary sources that enable you to get a better grasp of what your topic or problems entails. As your topic develops, you will need to determine what type of sources you are looking for. For example, government websites often have search features that provide both legislative histories and other reasoning behind certain bills and treaties being passed. Scientific websites may offer more numerical and hard factual data analysis. If a specific business or industry is relevant you will need to know what resources are most helpful for researching information pertinent to the field.

Students in need of help narrowing down which resources to use should contact Professor Arrington to set up a research consult on their paper.

3.  Search

The first search will often include preliminary data gathering that generally ensures you have appropriately identified the issue. This preliminary search will be used to help you develop your thesis statement, and guide the remainder of your research.

The search process will develop and become increasingly in-depth each time you repeat the process. This steps evolves from the preliminary search of secondary resources and becomes a detailed review of primary sources. The material you search for evolves as you grasp the full extent of your topic and create a well-defined thesis.

4.  Evaluate

Take time to review the sources you have gathered and ensure your topic and question are still relevant. This means conducting a preemption check to ensure your topic and question are still relevant.

5.  Keep a Record

Keep a list of the sources you have used, how you located those sources, and how each is helpful to your paper. An annotated bibliography is a great way to ensure that you can recall where the information came from when you begin the writing process .

6.  Repeat

The research process is a cycle, so once you’ve completed preliminary research, you go back through the cycle. After preliminary analysis, determining the appropriate research tools, searching, evaluating, and recording what you’ve found, begin again. Using the information you have already located, re-analyze your topic or thesis, consider what sub-issues still need further research, and follow the steps again with those issues in mind. Your research will continue to evolve as you write drafts of your paper, as you will begin to see missing pieces that need further research.

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Oxford University Press's Academic Insights for the Thinking World

Effective ways to communicate research in a journal article

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We publish over 500 high-quality journals, with two-thirds in partnership with learned societies and prestigious institutions. Our diverse journal offerings ensure that your research finds a home alongside award-winning content, reaching a global audience and maximizing impact.

• By Megan Taphouse , Anne Foster , Eduardo Franco , Howard Browman , and Michael Schnoor
• August 12 th 2024

In this blog post, editors of OUP journals delve into the vital aspect of clear communication in a journal article. Anne Foster (Editor of Diplomatic History ), Eduardo Franco (Editor-in-Chief of JNCI: Journal of the National Cancer Institute and JNCI Monographs ), Howard Browman (Editor-in-Chief of ICES Journal of Marine Science ), and Michael Schnoor (Editor-in-Chief of Journal of Leukocyte Biology ) provide editorial recommendations on achieving clarity, avoiding common mistakes, and creating an effective structure.

Ensuring clear communication of research findings

AF : To ensure research findings are clearly communicated, you should be able to state the significance of those findings in one sentence—if you don’t have that simple, clear claim in your mind, you will not be able to communicate it.

MS : The most important thing is clear and concise language. It is also critical to have a logical flow of your story with clear transitions from one research question to the next.

EF : It is crucial to write with both experts and interested non-specialists in mind, valuing their diverse perspectives and insights.

Common mistakes that obscure authors’ arguments and data

AF : Many authors do a lovely job of contextualizing their work, acknowledging what other scholars have written about the topic, but then do not sufficiently distinguish what their work is adding to the conversation.

HB : Be succinct—eliminate repetition and superfluous material. Do not attempt to write a mini review. Do not overinterpret your results or extrapolate far beyond the limits of the study. Do not report the same data in the text, tables, and figures.

The importance of the introduction

AF : The introduction is absolutely critical. It needs to bring them straight into your argument and contribution, as quickly as possible.

EF : The introduction is where you make a promise to the reader. It is like you saying, “I identified this problem and will solve it.” What comes next in the paper is how you kept that promise.

Structural pitfalls

EF : Remember, editors are your first audience; make sure your writing is clear and compelling because if the editor cannot understand your writing, chances are that s/he will reject your paper without sending it out for external peer review.

HB : Authors often misplace content across sections, placing material in the introduction that belongs in methods, results, or discussion, and interpretive phrases in results instead of discussion. Additionally, they redundantly present information in multiple sections.

Creating an effective structure

AF : I have one tip which is more of a thinking and planning strategy. I write myself letters about what I think the argument is, what kinds of support it needs, how I will use the specific material I have to provide that support, how it fits together, etc.

EF : Effective writing comes from effective reading—try to appreciate good writing in the work of others as you read their papers. Do you like their writing? Do you like their strategy of advancing arguments? Are you suspicious of their methods, findings, or how they interpret them? Do you see yourself resisting? Examine your reactions. You should also write frequently. Effective writing is like a physical sport; you develop ‘muscle memory’ by hitting a golf ball or scoring a 3-pointer in basketball.

The importance of visualizing data and findings

MS : It is extremely important to present your data in clean and well-organized figures—they act as your business card. Also, understand and consider the page layout and page or column dimensions of your target journal and format your tables and figures accordingly.

EF : Be careful when cropping gels to assemble them in a figure. Make sure that image contrasts are preserved from the original blots. Image cleaning for the sake of readability can alter the meaning of results and eventually be flagged by readers as suspicious.

The power of editing

AF : Most of the time, our first draft is for ourselves. We write what we have been thinking about most, which means the article reflects our questions, our knowledge, and our interests. A round or two of editing and refining before submission to the journal is valuable.

HB : Editing does yourself a favour by minimizing distractions-annoyances-cosmetic points that a reviewer can criticize. Why give reviewers things to criticize when you can eliminate them by submitting a carefully prepared manuscript?

Editing mistakes to avoid

AF : Do not submit an article which is already at or above the word limit for articles in the journal. The review process rarely asks for cuts; usually, you will be asked to clarify or add material. If you are at the maximum word count in the initial submission, you then must cut something during the revision process.

EF : Wait 2-3 days and then reread your draft. You will be surprised to see how many passages in your great paper are too complicated and inscrutable even for you. And you wrote it!

Featured image by Charlotte May via Pexels .

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New Research Challenges Conventional Wisdom on Wet Surface Adhesion

In a significant shift in understanding, scientists have found that water can improve adhesion under certain conditions, challenging the longstanding belief that water impedes this process. This discovery could lead to advances in medical adhesives and other applications.

Researchers from the University of Akron and the University of Pittsburgh have challenged long-standing beliefs with new findings that show water can actually aid in adhesion. Dr. Ali Dhinojwala, the W. Gerald Austen Endowed Chair and H.A. Morton Professor at The University of Akron’s School of Polymer Science and Polymer Engineering, led a team to this significant discovery. Their breakthrough, revealing that water can enhance adhesion under specific controlled conditions, was published in Science Advances .

The implications of this research are profound, particularly in biomedical applications such as bandages, health monitoring sensors for moist skin, and advanced adhesives that could replace sutures. The insights gained into leveraging surface roughness and material properties could revolutionize industries worth billions of dollars globally.

Driving on wet roads or applying adhesive tapes to damp skin are everyday challenges exacerbated by the difficulty of achieving strong adhesion on wet, rough surfaces. Traditionally, the presence of water has been seen as a hindrance, disrupting molecular bonds necessary for effective adhesion. Water tends to cling to surfaces and get trapped in surface roughness, further complicating the adhesion process.

Breakthrough Findings and Collaborative Effort

In a significant breakthrough, Dr. Dhinojwala’s team ­—including Dr. Tevis Jacobs from the University of Pittsburgh, Dr. Lars Pastewka from the University of Freiburg, and Dr. Anirudha Sumant from Argonne National Laboratory —made their discovery in a study that involved measuring the adhesion of a soft elastomer to precisely engineered rough surfaces, revealing a complex interplay between water, surface roughness and adhesion dynamics.

Dr. Dhinojwala, and graduate student Nityanshu Kumar, performed the groundbreaking underwater experiments and developed models to explain the results. The rough surfaces were chemically prepared at Argonne National Lab and were characterized down to the atomic scale at the University of Pittsburgh. Simulations of the separating interface were conducted at the University of Freiburg. The investigation was only possible through the complementary expertise of this collaborative team.

Contrary to expectations, the presence of water during contact formation initially disrupts adhesion by preventing molecular contact over nearly half of the surface area due to trapped water molecules. Moreover, the energy required to deform the elastomer and conform to the surface roughness is significantly increased in the presence of water, further reducing initial adhesion.

Surprisingly, the presence of water, which disrupts adhesion during contact formation, increased adhesion by nearly four times during detachment. With the help of analytical models and surface-sensitive spectroscopy, these results showed that water is trapped in nanometer-sized pockets. “It’s hard to make contact under water because extra energy is required to squeeze out the water and you can’t remove it entirely,” said Dr. Jacobs, “But we were very surprised to see that the same trapped water that makes it hard to push two surfaces together, also makes it significantly harder to pull the same surfaces apart.”

“These findings challenge the traditional view that water universally impedes adhesion,” said Dr. Dhinojwala. “By understanding how water interacts with surface topography, we can potentially harness roughness to enhance adhesion, much like how geckos use their toe pads to climb wet surfaces.”

Dr. Dhinojwala’s team next intends to focus on further refining these findings to develop practical applications that capitalize on the surprising benefits of water in adhesion science.

Reference: “Small-scale roughness entraps water and controls underwater adhesion” by Nityanshu Kumar, Siddhesh Dalvi, Anirudha V. Sumant, Lars Pastewka, Tevis D. B. Jacobs and Ali Dhinojwala, 7 August 2024, Science Advances . DOI: 10.1126/sciadv.adn8343

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• Published: 12 August 2024

An ultrathin, rapidly fabricated, flexible giant magnetoresistive electronic skin

• Junjie Zhang   ORCID: orcid.org/0000-0002-1452-4214 1 , 2 ,
• Zhenhu Jin 1 , 2 ,
• Guangyuan Chen   ORCID: orcid.org/0000-0002-4146-2215 1 &
• Jiamin Chen 1 , 2 , 3  

Microsystems & Nanoengineering volume  10 , Article number:  109 ( 2024 ) Cite this article

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• Electrical and electronic engineering
• Electronic devices

In recent years, there has been a significant increase in the prevalence of electronic wearables, among which flexible magnetoelectronic skin has emerged as a key component. This technology is part of the rapidly progressing field of flexible wearable electronics, which has facilitated a new human perceptual development known as the magnetic sense. However, the magnetoelectronic skin is limited due to its low sensitivity and substantial field limitations as a wearable electronic device for sensing minor magnetic fields. Additionally, achieving efficient and non-destructive delamination in flexible magnetic sensors remains a significant challenge, hindering their development. In this study, we demonstrate a novel magnetoelectronic touchless interactive device that utilizes a flexible giant magnetoresistive sensor array. The flexible magnetic sensor array was developed through an electrochemical delamination process, and the resultant ultra-thin flexible electronic system possessed both ultra-thin and non-destructive characteristics. The flexible magnetic sensor is capable of achieving a bending angle of up to 90 degrees, maintaining its performance integrity even after multiple repetitive bending cycles. Our study also provides demonstrations of non-contact interaction and pressure sensing. This research is anticipated to significantly contribute to the advancement of high-performance flexible magnetic sensors and catalyze the development of more sophisticated magnetic electronic skins.

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Introduction.

Over the past two decades, the prevalence of electronic wearables has drastically increased, particularly in the domain of human-to-machine interfaces (HMIs) 1 , 2 , 3 . Electronic devices that monitor human health, track movement and activities, and function as HMIs are already in widespread use 1 , 2 , 4 . However, the goal of these electronic skins is to emulate the features of skin while still preserving its natural qualities 5 , 6 , 7 . Flexible magnetic sensors, such as giant magnetoresistive (GMR) 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , tunneling magnetoresistive (TMR) 22 , 23 , 24 , anisotropic magnetoresistive (AMR) 25 , 26 , giant magnetoimpedance (GMI) 27 , and Hall 28 , 29 sensors, have become critical components of this rapidly evolving HMI field. These flexible magnetic sensors facilitate a new path in human perceptual development since they have the potential to form a new perception, known as magnetic perception 30 , 31 .

Giant magnetoresistance (GMR) sensors have become predominant in magnetic detection due to their significant variations in electrical resistance 8 , 14 , 15 . Currently, flexible GMR sensors are primarily fabricated through the deposition of Co/Cu 17 , 21 , 28 , Py/Cu 19 , 21 , 32 , or Pd/Co 15 stacks onto ultrathin foils. However, this configuration exhibits limited sensitivity to small magnetic fields. Furthermore, the conventional fabrication of flexible GMR sensors requires introducing a sacrificial layer between the polymer substrate and the rigid support 33 . The separation process is often manual, inefficient, and complicates mass production. Moreover, existing GMR sensors have not yet exploited the benefits provided by array sensor configurations.

In this study, a novel magnetoelectronic, touchless interactive system utilizing a flexible giant magnetoresistive (GMR) sensor array, sensitive to small magnetic fields, was developed. A flexible magnetic sensor array was fabricated using an electrochemical delamination process, enabling the successful detachment of the ultrathin films from a rigid substrate without performance degradation. This delamination process was efficient and rapid and caused no damage to the electronic system. The adapted GMR spin valve structure provided an effective field of below 80 Oe. Flexible GMR sensors are capable of achieving a bending angle of 90° and exhibit durability against multiple instances of repetitive bending. Additionally, we explored the application potential of the flexible GMR sensor array as both an intelligent and sophisticated magnetoelectronic skin. The flexible GMR sensors were integrated with the magnetic skin; this resulted in the successful demonstration of touchless interactions and the ability to perceive contact pressure. Both of these devices demonstrated strong performance and represent a significant step forward in the development of fully integrated on-skin magnetoelectronics.

Fabrication

Figure 1a illustrates a typical electrochemical delamination procedure 34 . Initially, a thin polymer layer is deposited on a heavily-doped silicon wafer, serving as the stiff substrate. Subsequently, GMR devices are fabricated on the upper surface of this film using conventional microfabrication techniques, as depicted in Figure S1 of the Supplementary Materials. Next, the silicon wafer is inclined to contact the surface of the sodium chloride electrolyte aqueous solution using its bottom edge, as shown in Fig. 1b . Notably, the polymer layer around the periphery of the silicon (Si) wafer is gradually removed, ensuring direct contact between the Si wafer’s top surface and the electrolyte solution. Subsequently, positive and negative potentials are applied to the Si wafer and the electrolyte solution, respectively. To optimize the electrochemical processes, the resistivity of the silicon (Si) wafer must be within the range of 0.002 to 0.004 Ω cm. Following this, the positively polarized silicon wafer initiates an anodic reaction, as shown in Fig. 1c :

a Illustration of a typical electrochemical delamination process. b Illustration of a PI-electronic foil preparation on a low-resistance silicon wafer in an NaCl solution. The NaCl solution climbs upward, facilitating the occurrence of reactions. c Schematic diagram of the electrochemical reactions at the cathode and anode. d Photographs showing the progress in the detachment of a 1.6 cm × 1.6 cm GMR sensor. e Average delamination time when applying a voltage ranging from 10 to 20 V; f Average delamination time when the NaCl concentration increases from 0.02 M to 5.43 M (supersaturation)

As a result of an anodic etching process, spaces are created between the polymer and the silicon wafer. During this process, the formation of oxygen bubbles exerts a gentle upward pull, aiding the separation of the two layers. Moreover, the upper electrical components of the thin film are unharmed due to the absence of moisture and dirt. Throughout the process, the ultrathin layer containing the electronic systems detaches successfully from the underlying Si wafer, avoiding significant mechanical or chemical damage and thus ensuring complete and effective delamination. This method demonstrates superiority over other delamination techniques due to its distinctly straightforward, notably rapid, noninvasive, and adaptable nature.

Figure 1d and Movie S1 in the Supplementary Materials illustrate the comprehensive delamination process of a flexible GMR sensor foil. The foil consists of a polyimide substrate measuring 1.6 cm × 1.6 cm with a thickness of 0.97 μm (refer to the step profiler photograph in Figure S2 ). A detailed description of the fabrication process is provided in the Supporting Information, Note 1 . The ultrathin electronic foil was exfoliated from the Si wafer in 4.8 minutes using an applied voltage of 20 V and a 1 M NaCl solution. At the initiation of the delamination process, the electrolyte solution infiltrates the interface between the polyimide and Si along the lateral margins of the Si wafer. As peeling progresses, two fan-shaped domains form at the bottom of the Si wafer and eventually merge. The electronic components positioned at the top remain separate from the solution, while the substrate film undergoes a controlled exfoliation process, ensuring no physical harm. Wrinkling was observed on the film and was attributed to trapped O 2 bubbles beneath it; due to its ultra-thinness and low bending strength, the film is susceptible to rapid ruffling by slight perturbations. Ultimately, a free-standing film is obtained that is capable of recovering its flatness after being picked up and can be conformably laminated onto target surfaces.

Managing the critical variables in the delamination process has significant importance for the manufacturing of flexible devices. The effects of the applied voltage and NaCl concentration on the delamination of polyimide films from silicon wafers were studied considering the involved electrochemical reactions. Due to the varying delamination rates during processing, these effects were measured based on the time taken to remove an entire film of the same size, as shown in Movie S2 . As demonstrated in Fig. 1e , with a constant NaCl electrolyte solution concentration of 1 M and an increase in the applied voltage from 10 V to 20 V, an increase in the average time is observed. With the voltage increase from 10 V to 12 V, an acceleration in the anode reaction and an increase in stacking efficiency are observed. At a voltage of 20 V, the peeling rate progressively increases until reaching a maximum value and then stabilizes. This phenomenon could be attributed to the saturation of NaCl, hindering the peeling process. However, the average delamination time remains relatively short and is typically a few minutes. This rate is significantly faster than that of traditional sacrificial methods, which usually require tens of minutes to several hours. Exfoliation can be accelerated by increasing the NaCl concentration to supersaturation (i.e., 5.43 M at 293 K, 101.325 kPa); this acceleration is likely due to the increased conductivity of the solution enhancing the electrochemical reaction. Due to the anticipated advantages of the rapid delamination and the low cost of the NaCl solution, this process is expected to advance as a method for next-generation large-scale flexible device manufacturing. Figure 1f compares the delamination process across various voltages and NaCl concentrations (0.02 M, 0.2 M, 1 M, 2 M, and 5.43 M). This exfoliation technique demonstrates significant adaptability and provides an efficient method to produce ultrathin electronic systems. The aforementioned electronic system, with its remarkably thin structure, can be seamlessly integrated into human skin or organs. This technological advancement is expected to find applications in the development of future human‒machine interface devices. An ultrathin and flexible giant magnetoresistive sensor array was developed to enable high-resolution pressure detection and facilitate human-computer interactions.

The previously described delamination method enables the direct fabrication of the GMR multilayer structures (Fig. 2a ) on polyimide, ensuring compatibility with conventional micro-nanofabrication processes and suitability for large-scale manufacturing. The completed GMR devices are shown in Fig. 2b ; the configuration has 16 GMR devices organized in a 4 × 4 array structure with a collective thickness of approximately 0.97 μm. Figure 2c shows the extreme weight and flexibility of the sensor elements, which are capable of withstanding multiple instances of friction and folding.

a Schematic of the GMR spin valve structure deposited on a Si substrate with a synthetic antiferromagnetic layer. b Optical photographs of the flexible GMR sensor array. c GMR sensor array placed on a human palm. d Magnetoresistance curves of a GMR sensor on silicon and PI substrates. e Magnetoresistance curves of the GMR sensor before and after delamination. f Atomic force microscopy image showing the surface roughness of the spin-coated polyimide on the Si substrates, exhibiting an average roughness of 0.574 nm at 6 different points. g Hysteresis loop of the GMR spin valve film

Performance

Device testing was conducted on an MR sensor testing platform (TRUTH INSTRUMENTS CO. LTD, PS1DX-MS), and devices with the same dimensions were fabricated on rigid SiO 2 substrates using identical manufacturing processes. Detailed information regarding the fabrication process is available in the Supplementary Materials, Figure S1 . The GMR ratios for the devices on the Si substrates prepared under ambient conditions were observed to reach 5.6%; this is a typical value for artificially synthesized antiferromagnetic layer-based GMR devices 35 . Although the GMR ratio is modest, it exhibits heightened sensitivity to low magnetic fields (10 Oe), particularly compared to other studies 36 , where the effective magnetic field is up to 4 kOe. However, the devices on polyimide substrates exhibited a significant decrease in performance, with the magnetoresistance ratio decreasing from 5.6% to 2.46% and the saturation field increasing to 80 Oe, as illustrated in Fig. 2d . Atomic force microscopy (AFM) was used to assess the surface roughness of the spin-coated polyimide on the Si substrates; these exhibited an average roughness of 0.574 nm, which showed an increase in the roughness of the wafer before spin-coating (0.163 nm), as depicted in Fig. 2f and Figure S3 . The analysis indicated that the increased roughness due to the polyimide was likely the primary cause of the performance degradation. Since GMR devices with this structure required stringent control of the substrate quality and deposition parameters, the increased roughness induced by the polyimide significantly impacted the device performance.

Furthermore, tests were conducted on the devices before and after delamination, as illustrated in Fig. 2e . The device curves before and after delamination closely resembled each other, demonstrating a similar magnitude of the GMR. These results indicated that the delamination method employed had a minimal impact on the performance of the GMR devices, further verifying that the performance degradation was primarily caused by the roughness introduced by the polyimide.

To evaluate the bending performance of the GMR devices, they were positioned on a specially designed flexible circuit board, enabling simultaneous bending with the circuit board from 0° to 90°, as illustrated in Fig. 3a . Figure 3b shows representative side-view images of the samples in their bent state. The contacts on the GMR devices were connected using conductive silver paint (SPI #5002-AB Silver Paint) and flexed in concert with the flexible circuit board. In Fig. 3c , the GMR ratio consistently remained at 2.46% at any bending angle, independent of the bending state, and the initial resistance of the GMR devices remained stable (approximately 1600 Ω), fluctuating by less than 6 Ω, as shown in Fig. 3d . The minor changes in resistance after bending were likely caused by the bending of the conductive sliver path or the device resistance drift, and the minor changes did not have a significant impact on the device, thereby illustrating the stability of the GMR device. These attributes collectively indicated that the GMR system could be affixed to any part of the human body and remain unaffected by natural skin curvature; thus, this system is particularly valuable for applications in smart skin and biomedical contexts. Furthermore, due to its ultrathin and flexible nature, the GMR system could adhere to any flat surface, providing potential applications in diverse fields, including robotics and electronic power transmission.

a Schematic images showing the sample at various bending angles. b Optical images of a flexible bending GMR sensor array. c Magnetoresistance curves of the GMR sensor for bending angles ranging from 0° to 90°. d GMR magnitude (represented by red squares) and resistance change (black dots) as a function of the various bending angles. e GMR magnitude (red squares) and resistance change (black dots) as a function of the number of cycles

Concurrently, repetitive loading experiments were conducted to validate the long-term stability of the flexible GMR devices. The flexible GMR devices were set at a bending angle of 60°, a configuration typically suitable for most skin-related and various field applications. These repetitive loading experiments were carried out using a mechanical stage. As shown in Fig. 3e , even after more than 500 loading cycles, the GMR ratio remained at 2.46%, and the initial resistance of the multilayer films minimally changed (varying by less than 4 Ω); moreover, this change did not significantly impact the device performance. This long-term stability attested to the durability of flexible GMR devices; thus, these devices provide a robust foundation for diverse applications.

The application potential of the flexible GMR sensor array as an intelligent magnetoelectronic skin was explored. Initially, a magnetic skin was fabricated that served as a flexible magnet capable of generating a magnetic field. The magnetic skin could be seamlessly integrated with the flexible GMR array, enabling the GMR devices to sense the magnetic field generated by the magnetic skin. The fabrication process for the magnetic skin is detailed in Figure S4 . A 75 wt% magnetic skin, with a radius of 0.8 mm and a thickness of 1 mm, was used; it adhered to a finger near the flexible GMR array. As illustrated in Fig. 4a , the flexible GMR sensor array could respond to the magnetic skin on the fingertip, displaying changes in the surrounding magnetic field, as shown in Fig. 4c ; this could act as an ‘upper left’ command in Fig. 4b for a noncontact human‒machine interface. Placing this combination on the human body could endow individuals with an additional sense, known as magnetoreception, which is not naturally possessed.

a Schematic image showing the touchless interactions using the flexible GMR sensor array. b Optical image of the flexible GMR sensor array and magnetic skin on a human fingertip. c Magnetic response of the GMR sensor array when a finger approaches the top left corner. d Schematic images showing the pressure sensing using the flexible GMR sensor array. e , h Optical images of the flexible GMR sensor array and magnetic skin when pressures of 61.36 g and 180.89 g are applied. g Optical side images of the pressure sensing installation. f , i Magnetic response when pressures of 61.36 g and 180.89 g are applied

Subsequently, the flexible GMR array was applied to high spatial resolution pressure sensing, as demonstrated in Movie S3 . The magnetic skin and the flexible GMR array were attached with a layer of pure Ecoflex in between, as shown in Fig. 4d (Ecoflex thickness: 2.2 mm, magnetic skin thickness: 1.8 mm, as depicted in Fig. 4g ). The magnetic film used for pressure sensing had a magnetic powder content of 50 wt%, and the remanence generated was approximately 5 mT; this value falls within the working range of GMR devices. Additionally, the film possessed a relatively large elastic modulus and was soft. When pressure was applied, the magnetic skin underwent deformation, leading to changes in the magnetic field sensed by the flexible GMR sensor array. The magnetic field output varied in accordance with the magnitude of the applied pressure. The finite element simulation of mechanical deformation under pressure and changes in magnetic field can be found in Figure S7 . As demonstrated in Fig. 4e , when a force of 61.36 g was applied in the top-left corner, the output of the flexible GMR devices reached a maximum change of 9.89 Ω, as shown in Fig. 4f . In contrast, when a force of 180.89 g was applied in the same corner, as depicted in Fig. 4h , the output reached a maximum change of 16.46 Ω, as shown in Fig. 4i . This intelligent magnetoelectronic skin provides high spatial resolution (GMR device spacing: 2 mm) and has diverse applications. For instance, it can be used on the human body for multisite pressure, particularly in patients at risk for pressure injuries, or applied to robots to provide high-resolution pressure sensing capabilities and human-like functionality.

Finally, we characterized the relationship between the pressure and the changes in magnetoresistance. As shown in Fig. 5a , as the pressure increases, the deformation between the magnetic and nonmagnetic layers increases. The magnetic part approaches the flexible GMR array at the bottom, and the magnetic field experienced by the GMR devices also increases; this results in increased resistance changes. Additionally, the relationship of the GMR device with increasing pressure is similar to that of the magnetoresistance curve. The increase is relatively slow under low pressure, and the change in resistance sharply increases with increasing pressure. This result is consistent with the higher sensitivity between 1 and 6 mT on the magnetoresistance curve. As the pressure continues to increase, the change in the magnetoresistance ratio tends to slow; this is related to the saturation of the magnetoresistance device. Moreover, both the pressure measurement range and sensitivity can be modulated by altering the thickness of the Ecoflex layer and the magnetic skin layer; thus, further experimentation is needed for validation.

a Graph of magnetoresistance ratio variation with pressure. b noise level in the pressure sensing. c signal variations when the magnetic skin approaches or moves away from the magnetic sensor

Subsequently, the noise levels of the magnetoresistive response was also investigated. As shown in Fig. 5b , this sensitive unit demonstrated an excellent performance in terms of the signal-to-noise ratio. In the absence of an external force, changes in the magnetoresistance ratio were minimal and did not exceed 0.005%. However, once an external force was applied, the change in the signal significantly increased, with a signal-to-noise ratio greater than 400. Similarly, tests were conducted to evaluate the output response of a single sensor to the magnetic skin; this demonstrated its real-time responsiveness, as shown in Supplementary Materials Movie S4 . The sampling time was set to 0.2 s, enabling the sensor exhibited near real-time responsiveness to the magnetic skin, as shown in Fig. 5c .

In this study, a simple and rapid method for the electrochemical delamination of flexible electronic systems from ultrathin films was developed. Using this method, the first flexible GMR sensor array with a spin-valve structure exhibiting increased sensitivity to small magnetic fields was fabricated. Since microelectronic fabrication processes can be directly applied to silicon wafers, lithographic patterning of magnetoelectronic nanostructures on ultrathin PI foils was successfully achieved, and the separated electronic systems remained intact and undamaged.

The magnetoelectronic skin was exceptionally lightweight and conformable on any surface and could bend up to 90 degrees without any degradation in performance. The significant potential of this technology in applications such as smart skin and medical implants was demonstrated. Noncontact interaction applications were shown, where placing the magnetic skin on the fingertips enabled the execution of various commands by moving the fingers. Additionally, high spatial resolution pressure sensing was demonstrated by stacking Ecoflex and the magnetic skin on a flexible GMR array, thereby enabling the detection of the applied pressure. Furthermore, the pressure measurement range and sensitivity could be modulated by altering the thickness of the Ecoflex and magnetic skin layers.

Future work will concentrate on optimizing the GMR device performance, minimizing hysteresis, and exploring the relationships among the pressure measurement range, the sensitivity and thicknesses of the Ecoflex, and the magnetic skin layers. Moreover, optimization of the electrical and mechanical interfaces with other electronic components, such as wireless readouts and remote sensing, will be pursued. The integration of magnetoelectronics with ultrathin functional devices, including solar cells, transistors, and temperature sensor arrays, will facilitate the development of integrated electronic skins with enhanced functionality.

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Acknowledgements

This work was supported in part by the National Key R&D Program of China (2021YFB2011600), the National Natural Science Foundation of China (Grant no. 62271469, 62201547), the Science and Disruptive Technology Program, the AIRCAS, Young Elite Scientists Sponsorship Program by CAST (No. YESS20210341), the One Hundred Person Project of the Chinese Academy of Sciences, and the Xiaomi Young Talents Program.

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Junjie Zhang, Zhenhu Jin, Guangyuan Chen & Jiamin Chen

School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100049, China

Junjie Zhang, Zhenhu Jin & Jiamin Chen

College of Materials Sciences and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing, 100049, China

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Supplementary information

Supplementary materials, movie s1. electrochemical delamination process, 41378_2024_716_moesm3_esm.mp4.

Movie S2. Electrochemical delamination processes under different conditions: (1) Voltage: 20 V, NaCl concentration: 1 M; (2) Voltage: 10 V, NaCl concentration: 1 M; (3) Voltage: 20 V, NaCl concentration: 0.2 M

Movie S3. Illustration of the pressure sensing using a flexible GMR sensor array

41378_2024_716_moesm5_esm.mp4.

Movie S4. Illustration of real-time performance in a noncontact human‒machine interface using a flexible GMR sensor array

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Zhang, J., Jin, Z., Chen, G. et al. An ultrathin, rapidly fabricated, flexible giant magnetoresistive electronic skin. Microsyst Nanoeng 10 , 109 (2024). https://doi.org/10.1038/s41378-024-00716-2

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DOI : https://doi.org/10.1038/s41378-024-00716-2

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