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Data Management for Social Sciences

Research data management education strives to provide guidance on how researchers can effectively manage their data to increase the scholarly impact from their research. However, guidelines for data management may vary significantly across domain areas. Researchers in the social sciences engage with many forms of data, including surveys, ethnographic data, census data, and statistical data, all with their own considerations for how to effectively manage them. This workshop will provide data management tips and tips specifically aimed at social scientists from all levels (students, staff, and faculty), including how to clean data, develop file-naming schemes, and store your data securely.

As we will be exploring several online tools and resources which aid in data management, it will be helpful (but not required) for participants to bring a laptop to the workshop if one is available to them.

Monday, February 10, 2020
6:00pm - 7:00pm
Time Zone:
Eastern Time - US & Canada (change)
Sorrells Library, Den
Sorrells Library
Registration has closed.


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Sarah Young
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Hannah Gunderman

Hannah Gunderman (any pronouns) is the Data, Gaming, and Popular Culture Librarian at Carnegie Mellon University Libraries,  providing data and data management support and education for students, staff, and faculty in all areas of study, from fine arts to STEM, with a particular affinity for data used in gaming and popular culture research.

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