DataQ, a New Collaborative Platform for Answering Research Data Questions in Academic Libraries Formally Launches
DataQ, a new platform for answering research data questions in academic libraries has formally launched online.
The new resource is sponsored by:
- University Libraries at U. of Colorado Boulder
- Great Western Libraries Libraries Alliance
- Great Plains Network (GPN)
with funding via a Institute of Museum and Library Services (IMLS) Sparks! Ignition Grant for Libraries.
From the DataQ “About” Page:
DataQ is a collaborative platform for the community to use to ask and answer questions related to research data support in academic libraries.
Library staff from any institution may submit questions on research data topics to the DataQ website, where questions are reviewed by an Editorial Team of experts with additional support from an active pool of Project Volunteers. Answers to these questions, from both the community and the Editorial Team, are 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 Principal Investigators
Andrew Johnson (PI)
Research Data Librarian
University of Colorado Boulder
Megan Bresnahan (Co-PI)
Team Lead for Sciences and Social Sciences, Tisch Library
Direct to DataQ
See Also: Presentation from May 2015
Filed under: Academic Libraries, Data Files, Funding, Libraries, Management and Leadership, News, Video Recordings
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.