Social scientists work with lots of data in their research, be it qualitative or quantitative, primary or secondary. This workshop will introduce data management practices for social scientists to consider and apply throughout the research lifecycle. Good data management practices pertaining to planning, organization, documentation, storage and backup, sharing, citation, and preservation will be presented through a social sciences lens using discipline-based, concrete examples. During the workshop, participants will also engage in discussions with their peers on data management concepts as well as learn about one specific tool as a method to assess how tools can enable specific data management practices. The tool explored in this workshop will be OSF - a comprehensive data and project management workflow tool. 

While good general data management practices are relevant across disciplines, participants working specifically within the social sciences are the intended audience for this 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.