A division of Libraries and Academic Innovation

Gelman Hours for GWorld Holders
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NOTICE:

The Gelman, Eckles, and VSTC Library buildings are closed, but remote library services and resources and virtual tutoring services remain available. Assistance is available.

Instructor support for Blackboard, academic technology tools and teaching questions is available on the teaching resources for the COVID-19 virtual learning period page.  

Library Services

Statistical Consulting

GIS Consulting

Finding Data

Data Management Plans


Statistical Consulting

Statistical consultations are available during the Fall and Spring semesters only. Our statistical consultants can assist you with using statistical software packages such as Excel, SPSS, Python, and R. Schedule an appointment.

GIS Consulting

Gelman Library offers GIS consultations by appointment or walk-ins during designated hours. Our GIS consultant can assist you with basic GIS instruction, project-based GIS consultation, GIS data discovery, GIS data troubleshooting, and GIS metadata review. Schedule an appointment.

Finding Data

If you need assistance locating data related to a specific topic, have already identified a dataset and need assistance gaining access, or need to schedule an in-class library instruction session on locating and accessing data, please contact the Data Services Librarians. For more information on searching for data or statistics, check out the Data & Statistics Research Guide or the Social Sciences Data Guide.

Data Management Plans (DMPTool)

Federal funding agencies and certain foundations may require data management plans as part of the proposal process. Gelman Library can assist you with developing your data management plan using GW’s DMPTool. The DMPTool provides templates and guidance for developing data management plans to meet the requirements of funding agencies. For assistance with using the DMPTool, please contact the Data Services Librarians.

Additional information on data management best practices and resources can be found in the Data Management Research Guide.

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