Managing and Sharing Research Data
A Guide to Good Practice
- Louise Corti - UK Data Archive, University of Essex, UK
- Veerle Van den Eynden - University of Essex, UK
- Libby Bishop - University of Essex, UK
- Matthew Woollard - University of Essex, UK
Research Methods for Economics | Social Research Methods | Sociological Research Methods
Written by experts at the UK Data Archive, with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills.
Focused on both primary and secondary data and packed with checklists and templates, it contains everything readers need to know for managing all types data before, during, and after the research process. Building on foundational data management techniques, it offers practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data.
It also demonstrates how to:
- Identify quality data that is credible, ethically-sound, and available for use
- Choose and collect data suitable for particular research questions and project scopes
- Work with personal, communal, administrative, and other sensitive and public data
- Make the most of metadata
- Visualise and share data using innovative platforms like blogs, infographics, and podcasts.
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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.
This book remains an essential guide for researchers and data professionals concerned with best practice data management. Accessible. Practical. Comprehensive. This edition has been revised and updated to address legal changes as well as challenges posed by new forms of data. This is a trusty companion for novices and experts alike. Highly recommended.
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.
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.
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.
The book covers several concerns that are essential for research data management. I already prepared two talks on the topic, one for a broader audience of BSc and high-school students and another for an audience of software engineering researchers. The book has helped me to identify several tasks in data management that are useful for creating and sharing research artifacts. Many of them have been used to design a guideline set for research artifacts in a subarea of software engineering (https://mdeartifacts.github.io/). This book is an excellent resource for educating students and researchers on how to create sustainable research artifacts.
Excellent text for supporting students through the research process.
Well written and comprehensive. Nevertheless, the topic is not really in the focus of this course. Therefore added to the reading list