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.
(Professor Paul Boyle, Chief Executive 2013-12-16)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.
(Jude England, Head of Social Sciences, The British Library 2014-02-14)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.
(Dr. Nancy Y McGovern, Head of Curation and Preservation, MIT Libraries 2014-02-14)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.
(Professor Nigel Fielding, Professor in Social Research Methodology, University of Surrey 2014-02-14)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.
(Laurence Horton, Archive and Data Management Training Centre, GESIS - Leibniz Institute for the Social Sciences 2014-02-14)"Sobre este título" puede pertenecer a otra edición de este libro.
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