DataQ: A Collaborative Platform for Answering Research Data Questions in Libraries

Authors

Yasmeen Shorish, James Madison UniversityFollow
Sarah Pickle, Claremont University ConsortiumFollow
Christie A. Wiley, University of Illinois at Urbana-ChampaignFollow
Megan Bresnahan, Tufts UniversityFollow
Andrew M. Johnson, University of Colorado BoulderFollow

Publication Date

10-26-2015

Document Type

Poster

Abstract

DataQ is an IMLS­-funded project led by the University of Colorado Boulder Libraries, GWLA, and GPN to develop an online knowledge-­base of research data questions and answers curated for and by the library community. Publicly submitted questions to DataQ are reviewed by an Editorial Team of experts from 15 institutions across the United States. The site also includes links to resources, best practices, and practical approaches to working with researchers to address specific research data issues. This update from members of the Editorial Team will discuss outcomes and future directions following the first year of the DataQ project.

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Comments

This poster was presented at the 2015 Digital Library Federation Forum in Vancouver, Canada.

Recommended Citation

Shorish, Yasmeen; Pickle, Sarah; Wiley, Christie A.; Bresnahan, Megan; and Johnson, Andrew M., "DataQ: A Collaborative Platform for Answering Research Data Questions in Libraries" (2015). Libraries. 57.
https://commons.lib.jmu.edu/letfspubs/57