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Nick Barter, Christopher Stevenson, Angela Victor, Chris Rawson, Jessica Cheung, Matthew Clarke, Michael Rose, and Georgie Lowe

Most FutureLearn courses run multiple times. Every run of a course has a set start date but you can join it and work through it after it starts. Find out more This course is aimed at anyone interested in research. It may be of particular interest to people who are undertaking a research project related to their profession or area of study. You can use the hashtag #FLresearchmatters to talk about this course on social media.

Topics Covered

  • The contribution of research to society

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Reviews summary

Foundational course on research significance

According to learners, this course offers a broad overview of why research matters, providing a valuable conceptual understanding of its societal impact. While it is widely considered beginner-friendly and excellent for those new to research or looking to understand its broader context, some found it lacks practical application or specific methodological guidance. Students generally appreciate its focus on the contribution of research to society, making it a good starting point for professionals or students seeking to grasp the fundamental importance of research in their respective fields.
Emphasizes the 'why' of research rather than 'how-to' methodologies.
"I appreciated the philosophical discussions on research impact rather than just methods."
"It's more about the 'why' of research than the 'how-to', which suited my needs."
"I was looking for practical skills, but this course primarily covers the theoretical importance."
Explores research's impact relevant to professional and academic pursuits.
"It reinforced how crucial research is in my professional field."
"The course made me think about my own studies and how they contribute to broader knowledge."
"Understanding research's contribution to society is vital for my career development."
Well-suited for newcomers, but may be basic for those with prior experience.
"As someone new to research, this course was incredibly insightful and easy to follow."
"For a complete novice, it's a perfect starting point to appreciate research's role."
"I found some parts a bit too introductory given my background in research."
Provides a high-level, accessible introduction to research significance.
"I found it a great introduction to the importance of research, especially its societal contributions."
"It really helped me grasp the overarching reasons why research matters."
"This course offers a good starting point for anyone new to the world of research."

Career center

Learners who complete Why Research Matters will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Why Research Matters.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Widely used textbook that provides a comprehensive introduction to the three major approaches to research design. It's excellent for gaining a broad understanding of the core concepts and is often a foundational text in research methods courses. It serves as a valuable reference tool for understanding different design frameworks.
Foundational text for anyone beginning their research journey, offering a comprehensive guide to the entire research process, from formulating questions to presenting findings. It emphasizes critical thinking and effective communication, making it valuable for high school students transitioning to more rigorous academic work and essential for undergraduates. It serves as an excellent prerequisite text and a constant reference throughout one's academic and professional career.
This practical guide breaks down the process of conducting a literature review into manageable steps. It is highly relevant for students at all levels who need to master the skill of reviewing existing literature effectively. provides valuable, step-by-step guidance essential for any research project.
Presents a new way of thinking about data science and ethics, informed by intersectional feminist thought. It highlights how power imbalances are embedded in data and offers strategies for using data science for justice. It's highly relevant for contemporary discussions on data ethics.
Provides a comprehensive introduction to the theoretical approaches and methods of qualitative research. It guides the reader through the entire research process, including research design, data collection, and analysis. It's a strong foundational text for those new to qualitative methods and offers global perspectives.
Definitive guide to conducting case study research, a widely used qualitative research design. It provides a systematic outline for designing and conducting rigorous case studies and is considered a seminal text in this specific methodology. It's essential for those focusing on case study approaches.
This foundational text examines the responsibilities of individuals and institutions in ensuring the integrity of the research process. It covers topics such as research misconduct, data handling, and publication practices. It's a classic in the field of research integrity.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
This handbook provides practical guidance on the ethical considerations specific to conducting research with children and young people. It covers relevant laws, guidelines, and current debates, making it essential for researchers working with these populations.
A detailed guide to the process of analyzing qualitative data, this book is an essential resource for graduate students and researchers engaged in qualitative studies. It provides various techniques and strategies for making sense of qualitative data. serves as a key reference for qualitative data analysis.
For those interested in combining quantitative and qualitative approaches, this book provides a comprehensive guide to designing and conducting mixed methods research. It is relevant for graduate students and researchers working on complex research questions. adds depth by covering integrated research designs.
Delves into the technical aspects of building ethical considerations directly into algorithms. It's particularly useful for those in data science and AI who want to understand the practical implementation of ethical principles.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Offers a clear and systematic introduction to the research process, making it ideal for high school students and undergraduates new to research. It covers essential topics from formulating research questions to data analysis and writing proposals in a reader-friendly manner. This book is particularly helpful in providing foundational knowledge and can serve as a useful reference for beginners.
Focuses specifically on the ethical considerations when conducting research with human subjects. It is essential for researchers across various disciplines who interact with human participants. It provides detailed guidance on navigating the unique ethical challenges in this area.
Provides a framework for analyzing ethical issues in technology, which is highly relevant to contemporary research ethics in areas like AI and data science. It offers tools and concepts applicable to professional practice and academic study.
Bridges the gap between statistical theory and its practical application in data science using R and Python. It focuses on the statistical concepts most relevant to data scientists and provides code examples. It's a useful reference and learning resource for those applying statistics in their work.
A widely used textbook, this book covers the core areas of responsible conduct of research, including data management, authorship, peer review, and conflicts of interest. It valuable reference tool and is commonly used in academic settings.
This report identifies best practices in research and provides recommendations for addressing research misconduct and detrimental research practices. It's a crucial resource for understanding the institutional and systemic aspects of research ethics and integrity.
This comprehensive sourcebook key resource for those undertaking qualitative research. It provides detailed guidance on various techniques for analyzing qualitative data, which critical component of qualitative research design. While focused on analysis, it directly informs the design process by illustrating how data will be used.
Provides a guide to creating effective and aesthetically pleasing data visualizations. It delves into the principles behind good visualization design, helping readers make informed choices about how to represent their data. It valuable reference for anyone creating visualizations, from students to professionals.
Provides easy-to-follow advice for students undertaking research projects, covering the entire process from start to finish. It's a practical guide suitable for undergraduate and potentially advanced high school students. It helps solidify an understanding of the research process through a step-by-step approach.
Offers a student-friendly introduction to quantitative research methods and basic statistics, using a detective theme to make the concepts relatable. It's appropriate for introductory level courses and provides a good foundation in quantitative techniques. This book is valuable for undergraduates seeking to understand the basics of quantitative research.
Is an excellent starting point for anyone new to data analysis or statistics. It demystifies core statistical concepts without relying heavily on mathematical formulas, making it highly accessible for high school and undergraduate students. It provides a strong foundation in the intuition behind statistical analysis and helps readers understand how data can be used and misused. This is valuable background reading that builds prerequisite knowledge.
Offers a comprehensive philosophical framework for understanding ethical standards in science. It includes case studies and is suitable for research ethics courses in both natural and social sciences. It provides a strong foundation in the core areas of responsible conduct of research.
Offers a practical and accessible guide to qualitative research methods, bridging theory and practice. It includes exercises and insights valuable for students and practitioners. It provides a solid introduction to qualitative methodologies and useful toolkit for those employing these approaches.
This handbook presents a collection of case studies in research ethics across various disciplines. It practical tool for learning through examples and applying ethical principles to real-world scenarios. It is particularly useful for stimulating discussion and critical thinking.
Offers a practical introduction to quantitative research methods specifically in education, using SPSS as a tool. It is particularly useful for students and researchers in educational fields who need to apply quantitative techniques. It helps solidify understanding through practical application.
Offers a historical and practical context for ethical conduct specifically within the social sciences. It explores the interplay between ethical principles and regulatory requirements, providing a nuanced understanding for researchers in these fields.
Teaches probability and statistics using a computational approach with Python. It's ideal for students and professionals with programming experience who want to understand statistical concepts by doing. It helps solidify understanding through hands-on application.
Provides a practical guide to conducting research in real-world settings, covering both quantitative and qualitative methods. It's a valuable resource for students and practitioners who need to design research that is feasible and relevant outside of a purely academic context. It helps bridge the gap between theory and practice.
A more advanced introduction to causal inference, this book is suitable for those looking to deepen their understanding of this complex topic. It covers a wide range of methods and is relevant for quantitative research across various fields. It's a valuable resource for graduate students and researchers.
Provides a structured approach to writing and publishing academic journal articles. It is highly relevant for graduate students and working professionals who need to disseminate their research findings. It offers practical strategies for a key aspect of the research lifecycle.
Providing a comprehensive introduction to the ethics of science, this book valuable resource for gaining a broad understanding. It includes case studies and a bibliography to aid further study. This text helps solidify an understanding of the derivation and relevance of ethical standards in science.
SQL fundamental skill for data analysis, and this book delves into advanced techniques for working with data in databases. It's essential for anyone who needs to retrieve and manipulate data stored in relational databases. It serves as a valuable reference for more complex data extraction and transformation tasks.
Building on her work on research with children, Alderson explores the ethical considerations in the context of children's lives and historical perspectives. adds depth to the understanding of ethical research involving this specific population.
A timeless classic that remains highly relevant today. exposes common ways statistics can be manipulated or misinterpreted, fostering a critical eye essential for anyone working with data. It's valuable for all levels, from high school to professional, as it highlights the importance of data integrity and ethical considerations. This serves as crucial additional reading to develop data literacy.
Practical guide to the process of developing a strong research proposal. It covers essential elements of research design as they are presented in a proposal, including methodology and ethical considerations. It's a valuable resource for anyone planning a research project, particularly students.
A practical guide specifically focused on the process of coding qualitative data. is highly valuable for researchers employing qualitative methods and helps solidify understanding of a core analytical technique that influences research design choices. It's a useful reference tool for hands-on research.
Explores the world of prediction and forecasting across various fields, demonstrating how data analysis and statistical modeling are used in practice. It's particularly engaging for undergraduate and graduate students interested in the application of data analysis in real-world scenarios. It adds breadth by showcasing diverse applications and the challenges involved in making accurate predictions.
Provides a foundation in moral reasoning and applies it to contemporary ethical issues. While not exclusively about research ethics, the principles and frameworks discussed are directly applicable to navigating ethical dilemmas in research. It's a good resource for developing ethical thinking skills.
Provides a high-level overview of the data science process, from asking questions to interpreting results. It focuses on the principles and concepts rather than specific tools, making it suitable for a broad audience. It helps in gaining a broad understanding of the data analysis workflow.
Introduces creative approaches to research, exploring methods beyond traditional paradigms. It is valuable for researchers looking to innovate their methodologies and address complex contemporary questions. This book adds breadth by introducing alternative and innovative research methods.
Dives into more advanced topics in causal inference, specifically mediation and interaction analysis. It's relevant for researchers looking to explore complex causal pathways within their research designs and contributes to a deeper understanding of contemporary causal methods. This is suitable for advanced graduate students and professionals.
Provides guidance on the entire research process, from formulating a research question to presenting findings. While not solely focused on design, it offers valuable insights into structuring a research project and developing a clear argument, which are crucial aspects of effective research design. It's particularly helpful for students at all levels.

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