This workshop is an introduction to recommended practices in research data management. Participants across all research domains are encouraged to join. Researchers will learn techniques and principles behind reproducible research, data management across systems, data preservation and security, and documentation and data publishing practices.

Target audience: Anyone working with research data

Learning objectives: (1) Understand FAIR (findable, accessible, interoperable, and reusable) data principles; (2) Gain visibility into areas for improvement regarding data storage and backup practices; (3) Understand best practices of documentation for data reusability; and (4) Increase the impact of your research by effectively showcasing and sharing data.

Knowledge prerequisites: None

Hardware/software prerequisites: A Unix-enabled account and access to the RC clusters is recommended, but not required. You can satisfy these requirements by requesting an account on Adroit (https://bit.ly/3QER9Sv) at least 48 hours before the workshop. For full details of obtaining an account on a Research Computing system, please see: https://researchcomputing.princeton.edu/getting-started

Session format: In-person presentation and hands-on