Data Management in Large-Scale Education Research

This book is for those involved in a research study involving original data collection. Whilst it focuses on quantitative data, collected from human participants, many of the practices covered apply to other types of data. It contains foundational context, instructions, and examples.

Crystal Lewis is an independent research data management consultant (cghlewis.com). Her experience spans the research life cycle including collecting, curating, sharing, and analyzing data, particularly for federally funded research studies. She is happiest working at the intersection of education research and data management planning, helping researchers build and implement organized processes that lead to more secure, reliable, and usable data.

1. Introduction 2. Research Data Management Overview 3. Data Organization 4. Human Subjects Data 5. Data Management Plan 6. Planning Data Management 7. Project Roles and Responsibilities 8. Documentation 9. Style Guide 10. Data Tracking 11. Data Collection 12. Data Capture 13. Data Storage and Security 14. Data Cleaning 15. Data Archiving 16. Data Sharing 17. Additional Considerations. Glossary. Appendix. References.