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Data Management 101 for Social Scientists

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. 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.

Date:
Wednesday, January 23, 2019
Time:
2:00pm - 4:00pm
Location:
Bostock 127 (The Edge Workshop Room)
Campus:
West Campus
Categories:
Data and Visualization  

Event Organizer

Profile photo of Jen Darragh
Jen Darragh
Profile photo of Sophia Lafferty-Hess
Sophia Lafferty-Hess
Profile photo of Data and Visualization Services
Data and Visualization Services