The importance of reproducibility, replication, and transparency in the research endeavor is increasingly discussed in academia. This workshop will introduce foundational data management strategies that can increase the reproducibility of your work. Participants will engage in peer-to-peer discussions to assess common reproducibility challenges and will learn about specific tools and protocols that you might use within your research workflows including the TIER protocol, git and GitHub, and online containerization tools such as Binder and Code Ocean.

This event is offered virtually in accordance with Duke's Coronavirus events policies. A zoom link will be sent via email to registered participants to join the workshop.

This workshop is eligible for 2 hours of Graduate School RCR Credits.

The content of the workshop may be recorded. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

Data Management, Data Science