This book is a ‘must have’ for anyone teaching or learning about this topic. The reader is taken on a journey of discovery and at the end will be well equipped to manage and share research data in all aspects.
For CESSDA, as consortium of trusted repositories that offers a research infrastructure with tools and services for data producers and data re-users, good data practices throughout the data lifecycle are deemed essential to facilitate high-quality research that benefits society.
This book - full of practical guidance and tips, case studies and examples, and written by longstanding and experienced CESSDA members - helps to develop the skills of researchers and data professionals to produce high quality data that are well described, curated, re-usable and as openly accessible as possible. By describing the sometimes complex facets of data management in an easy and clear way, especially with regards the ethical and legal aspects of sharing and reusing social science data, this book helps to set researchers on a path to more open science.
This is a timely, comprehensive and really useful guide to good practice in the management and sharing of research data. It outlines the processes and practices needed to ensure the highest standards of data management and addresses the potential pitfalls of poor practice – from the importance of early planning, to the issues of confidentiality and consent, rights and permissions, and citation. Its great strength is the way it combines clear ‘how to’ case studies and checklists for action, with the rationale for action on each topic, addressing potential concerns and pitfalls. It should be required reading at the beginning - and end - of all research projects.
Data are a major asset of economic and social research, and the quality and provenance of research datasets fundamentally underpins the extent to which they can subsequently be shared and reused. The ESRC is the UK's largest funder of research on social and economic issues and has long been at the forefront of promoting the importance of data sharing.
As the volume and complexity of datasets available to researchers continues to increase, the importance of data management in the advancement of economic and social science research becomes ever more apparent. This book approaches these topics accessibly and will offer insights to a wide audience, from those at starting to think about data management to those seeking to refresh their skills.
Managing and Sharing Research Data: A Guide to Good Practice” is a solid introduction to best practices for collecting, storing and disseminating data that is intended to be shared with other researchers. While the book is written with social scientists in mind, it is a very useful resource for the sharing of clinical research data in the new era of transparency.
The breadth and depth of the cumulative expertise of the authors is evident throughout the sections of Managing and Sharing Research Data: A Guide to Good Practice that systematically highlight and address key trends and topics in research data management. The text is full of a rich combination of detailed examples, diagrams, exercises, and extensive references. As a result, the Guide simultaneously provides a practical handbook for getting on with research data management now, an instructional text for students and practitioners, a well-documented record of current practice that adds a valuable reference work to the literature of the community, and a roadmap for near-term and longer-term planning.
At the heart of good research lies good data management practice. Corti and her co-authors give us a vivid and comprehensive account of the ins-and-outs of this vital professional skill, from managing and sharing data, understanding the data lifecycle and realistically costing data management, through documenting and organising data, to securing, preserving and reusing data while honouring ethical accountability and intellectual property considerations. Whether beginner or experienced professor, every researcher will find helpful up-to-data advice in the pages of Managing and Sharing Research Data, whose message is all the more important for hitherto receiving too little attention in the research curriculum. Coverage is extended by thought-provoking practical exercises, exemplars, case studies and a well-specified companion website. This book is a much-needed resource that will serve the field well.
Data are a major asset of economic and social research - the basis for research and also the ultimate product of research. Research data quality and provenance then become paramount in underpinning subsequent sharing and secondary scientific use. As the UK's largest funder of research on economic and social issues, the ESRC has been at the forefront of promoting the culture of sharing the results and data of the research it funds. The ESRC considers that effective data management is an essential precondition for generating high quality reusable data. Researchers need to be armed with the knowledge and skills to ensure that the data they create and manage can be exploited to the maximum potential for further research. This book offers these skills in an approachable way.
Written by experts in the field, this book offers a comprehensive introduction to key topics in research data management across the whole research lifecycle. Already established as an indispensable handbook, this new edition provides up to date case studies, practical guidance and extensive references. Highly recommended.
The authors of Managing and Sharing Research Data all work at the Data Archive and collectively have a wealth of experience in the complex range of activities related to promoting, managing and facilitating data sharing... This guide sets out to help students, researchers, academics and research support staff through these processes and deals with documenting, formatting, storing and transferring data, as well as with legal and ethical issues, publication and citation.
This is the book we have been waiting for: a comprehensive guide to best practice in the essential work of preserving and sharing the data fundamentals necessary for modern, professional social science. The area is to a degree at the boundaries of standard research work and practitioners have to an extent been making it up as they go along; so, Louise Corti and her colleagues have done the wider research community a great service with this excellent guide. The exercises at the end of each chapter are useful learning points, and the chapter on publishing and citing research is particularly valuable in pushing the boundaries of best practice.
Corti et al have produced a great introductory text for researchers, librarians, and anyone involved in supporting the creation or reuse of research data. The team has extensive experience in issues surrounding the care and curation of a range of data, and put that experience to good effect in producing this guide.
The book offers concise chapters that cover essential information on research data management activities at all stages of the data lifecycle, and is suitable for quantitative and qualitative researchers either creating or reusing data. Chapters are supported by useful examples, case study illustrations, and reinforced by quizzes and exercises to get researchers and support services thinking about and implementing good data management practices.
This book fills a gap in the market and will, I’m sure, be read by researchers in any discipline where data management skills are needed. I would recommend this book without hesitation. Well written, informative and, with its commitment to transparency and data sharing, commendable.
The book represents an excellent textbook resource for researchers at any stage of their career who are keen to share their research evidence and materials. The authors have clear and demonstrated technical expertise in this area and the book is packed with useful and practical advice covering all stages of the research process.
The breadth and depth of the cumulative expertise of the authors is evident throughout the sections of Managing and Sharing Research Data: A Guide to Good Practice that systematically highlight and address key trends and topics in research data management. The text is full of a rich combination of detailed examples, diagrams, exercises, and extensive references. As a result, the Guide simultaneously provides a practical handbook for getting on with research data management now, an instructional text for students and practitioners, a well-documented record of current practice that adds a valuable reference work to the literature of the community, and a roadmap for near-term and longer-term planning.
