Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be shared or “published” within a repository. Building upon the foundational concepts covered in the data management 101 courses offered this year, this workshop will provide hands-on experience where participants will learn strategies for “curating” a dataset for formal sharing. Participants will identify common data issues, determine recommendations to optimize the dataset, generate metadata and documentation, and consider how these practices might be applied to their own research.

Participants are not required to have taken the Data Management 101 course (although it is recommended). Please bring a laptop to participate fully in the workshop. This workshop is eligible for 2 hours of Graduate School RCR credits.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.