Strongly Recommended Reading
The following references are must-reads to get going on best practices for working with research data as a part of the data management lifecycle. If pressed for time, read only the top five:
- Our path to better science in less time using open data science tools (Lowndes et al.)
- Good enough practices in scientific computing (Wilson et al.)
- Data organization in spreadsheets (Broman & Woo)
- Code and Data for the Social Sciences: A Practitioner’s Guide (Gentkow & Shapiro)
-
Data Management for Researchers (Kristen Briney)
- FAIR Guiding Principles for scientific data management and stewardship (Wilkinson et al.)
- A Quick Guide to Organizing Computational (Biology) Projects (Noble)
- Excuse me, do you have a minute to talk about version control? (Jennifer Bryan)
- Best Practices for Scientific Computing (Wilson et al.)
Other Harvard Resources
Other Resources
- DataAbInitio blog: Managing Research Data Right, From the Start
- Cookiecutter Data Science