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.
Autorentext
Louise Corti is Associate Director at the UK Data Archive since 2000 and currently leads the UK Data Service's Data Publishing Teams. She works closely with data producers from all sectors to ensure that high-quality data are created and acquired. Her research activities are focused on methods for sharing and reusing social research data, and she has directed research awards relating to data support, management, and sharing. She was instrumental in helping operationalise the ESRC's Research Data Policy from 1995 and extending this to fully accommodate qualitative data. Louise publishes and edits regularly in books and journals on aspects of data sharing and reuse of data and regularly acts as a consultant for new qualitative archives setting up round the world.
Inhalt
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