Managing and sharing research data book

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"Practical guidance for anyone working with research data"

The second edition of our book on Managing and Sharing Research Data: a Guide to Good Practice (2020) is now published. Written by Louise Corti, Veerle Van den Eynden, Libby Bishop, Scott Summers, Maureen Haaker and Matthew Woollard.

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 of data before, during and after the research process. Building on foundational data management techniques, it offers also practical advice and insight into the unique skills needed to work with newer forms of data, like social media and big data.

The book provides guidance on:

  • how to plan data management and data sharing for your research
  • how to document and describe context for data
  • how to format and organise research data
  • how to store, move and transfer data
  • research ethics, privacy and addressing data protection in data sharing
  • disclosure review and anonymisation
  • how to publish and cite research data 
  • opportunities and limitations in using existing data
  • working with big and novel data

online resources

A collection of online resources organised around the different phases of the research data lifecycle, accompanies the book, including:

Videos chosen by the authors to enliven the research data lifecycle and provide essential how-to guidance on storing data securely.

Case studies showcasing data reuse in action help bring theory to life and exemplify how research works in the real world.

Weblinks to data repositories, policies, guidelines and more help you implement best practice and ensure your research follows legal and ethical codes.

Tools and templates provide ready-made support for key stages like making a data management plan, creating consent forms and ensuring anonymisation of data.

Checklists designed by experts help you make sure you never miss a step when managing data.

Exercises enable you to build your understanding of the research data lifecycle and learn about important issues like data access, licensing and copyright.

Real data like interview transcripts offer the chance for you to practice your skills at your own pace.

Answers to in-chapter exercises enable you to check your understanding so you can feel secure in your knowledge of data management processes.

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