Having a plan for collecting and managing test data is critical to a successful test program. A successful plan will include guidance on where and how acquired data will be stored, including user permissions and necessary metadata; how data cleaning and reduction will be documented and potentially automated; how the data analysis process should be documented, organized, and reproducible; and where and how the data will be stored, who can access it, and how it will be distributed. This lesson discusses considerations and best practices for each of these elements of data management.
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References
Early, S., Henderson, D, and the Data Management Association. DAMA-DMBOK : Data Management Body of Knowledge, 2nd Ed. Technics Publications (2017).
Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. “The FAIR Guiding Principles for scientific data management and stewardship.” Sci Data 3, 160018 (2016). (For more, see: https://www.go-fair.org/fair-principles/)
Flack, A., Haman, J., and Kirshenbaum, K. “Reproducible Research Mini Tutorial.” DATAWorks 2019.
