Managing and Sharing Research Data

A Guide to Good Practice
Second Edition
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
Managing and Sharing Research Data
October 2019 | 368 pages | Sage UK
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Description

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. 

 

Contents

Chapter 1: The importance of managing and sharing research data

Chapter 1: The importance of managing and sharing research data

Chapter 2: The research data life-cycle

Chapter 2: The research data life-cycle

Chapter 3: Research data management planning

Chapter 3: Research data management planning

Chapter 4: Documenting and providing context for data

Chapter 4: Documenting and providing context for data

Chapter 5: Formatting, organizing and transforming data

Chapter 5: Formatting, organizing and transforming data

Chapter 6: Storing and moving data

Chapter 6: Storing and moving data

Chapter 7: Legal and ethical issues in sharing data

Chapter 7: Legal and ethical issues in sharing data

Chapter 8: Disclosure review and anonymization

Chapter 8: Disclosure review and anonymization

Chapter 9: Rights relating to research data

Chapter 9: Rights relating to research data

Chapter 10: Making use of existing research data: opportunities and limitations

Chapter 10: Making use of existing research data: opportunities and limitations

Chapter 11: Publishing, promoting and citing data

Chapter 11: Publishing, promoting and citing data

Chapter 12: Working with big and novel data

Chapter 12: Working with big and novel data

Description

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. 

 

Contents

Chapter 1: The importance of managing and sharing research data

Chapter 1: The importance of managing and sharing research data

Chapter 2: The research data life-cycle

Chapter 2: The research data life-cycle

Chapter 3: Research data management planning

Chapter 3: Research data management planning

Chapter 4: Documenting and providing context for data

Chapter 4: Documenting and providing context for data

Chapter 5: Formatting, organizing and transforming data

Chapter 5: Formatting, organizing and transforming data

Chapter 6: Storing and moving data

Chapter 6: Storing and moving data

Chapter 7: Legal and ethical issues in sharing data

Chapter 7: Legal and ethical issues in sharing data

Chapter 8: Disclosure review and anonymization

Chapter 8: Disclosure review and anonymization

Chapter 9: Rights relating to research data

Chapter 9: Rights relating to research data

Chapter 10: Making use of existing research data: opportunities and limitations

Chapter 10: Making use of existing research data: opportunities and limitations

Chapter 11: Publishing, promoting and citing data

Chapter 11: Publishing, promoting and citing data

Chapter 12: Working with big and novel data

Chapter 12: Working with big and novel data

SAGE Publishing Logo

Managing and Sharing Research Data

A Guide to Good Practice


October 2019 | 368 pages | Sage UK

Format Published Date ISBN Price

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. 

 

Table Of Contents:

  • Chapter 1: The importance of managing and sharing research data
  • Chapter 2: The research data life-cycle
  • Chapter 3: Research data management planning
  • Chapter 4: Documenting and providing context for data
  • Chapter 5: Formatting, organizing and transforming data
  • Chapter 6: Storing and moving data
  • Chapter 7: Legal and ethical issues in sharing data
  • Chapter 8: Disclosure review and anonymization
  • Chapter 9: Rights relating to research data
  • Chapter 10: Making use of existing research data: opportunities and limitations
  • Chapter 11: Publishing, promoting and citing data
  • Chapter 12: Working with big and novel data

Recent Product Reviews:

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.
Dr Diego Damasceno, Curriculum, Radboud University Nijmegen
Excellent text for supporting students through the research process.
Mrs Sian Pitson, Swansea Business School (Swansea), University of Wales, Trinity St David
Well written and comprehensive. Nevertheless, the topic is not really in the focus of this course. Therefore added to the reading list
Dr Werner Pitsch, Inst. for Sport Sciences, University of the Saarland
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.
Jane Fry, Carleton University
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.
Chris Gibson, Research Services Librarian, The University of Manchester

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