DataQ is now up and running. A collaborative knowledge-base of research data questions and answers curated for and by the library community, the DataQ platform lets the research community ask and search for answers to questions related to research data support in academic libraries.
Questions submitted to DataQ are reviewed and answered by an editorial team of experts. Our very own Sherry Lake, Scholarly Repository Librarian, is one of the editors (in the editorial team photo, that’s Sherry second from left in the front row). Answers are then posted to the DataQ website and include links to resources and tools, best practices, and practical approaches to working with researchers to address specific research data issues.
DataQ was developed with library staff in mind who might not have the resources to answer these types of questions. It’s a great resource for anyone in libraries, but for local help on data questions, the U.Va. Library also offers support through Research Data Services. Research Data Services can help with any U.Va.-specific questions you might have about data (analysis, visualization, storage, management, documentation, and acquisition).
Leadership for the DataQ project is provided by the University of Colorado Boulder Libraries, the Greater Western Library Alliance, and the Great Plains Network, with funding from the Institute of Museum and Library Services.