May 4th to 15th, Monday-Wednesday-Friday
This free national online workshop, held on Monday, Wednesday and Friday for two weeks, will introduce participants to best practices in both Research Data Management (RDM) and computational reproducibility with the R programming language. By the end of the program, participants will be able to:
- Explain how RDM principles support research transparency and reproducibility
- Apply RDM practices to real-world examples and consider how they can be applied to your own work
- Implement reproducible research workflows using R and RStudio, and
- Develop transferable strategies for independently learning and adopting new digital tools for research and applying RDM practices to different types of data.
Participants will work through a mock research project with synthetic survey data.
This program is targeted at graduate students and postdoctoral fellows with little to no experience in RDM or coding. While anyone is welcome to apply, applications from current/incoming September 2026 Masters and Doctoral students and Post-Doctoral Fellows will be prioritized.
Application deadline: April 7, 2026
