A COLLABORATIVE PLATFORM FOR ANSWERING RESEARCH DATA QUESTIONS IN ACADEMIC LIBRARIES

MEGAN BRESNAHANTUFTS UNIVERSITY

This project was made possible in part by the Institute of Museum and Library Services Sparks! Ignition Grant for Libraries SP-02-14-0020-14

ANDREW JOHNSONUNIVERSITY OF COLORADO BOULDER

Academic Libraries and Research Data Services(Tenopir, Birch, and Allard, 2012):

● “Reassigning existing library staff is the most common tactic for offering RDS. This approach also needs to be supported with professional development for staff so they can gain the required expertise to provide the full range of RDS”

● “When libraries provide research data services related to reference, consultation, or instruction, those services are most likely to be offered by individual librarians or library staff members who are subject discipline specialists.”

How do we provide support for individuals in these situations?

The Need

● “Research data is intimidating!”

● “How can I take on research data support with so much else already on my plate?!”

● “I need practical tools to use to help researchers with their data”

Also:

● “Helping faculty and students with their data is an increasingly important part of my liaison duties”

Feedback from Subject Librarians:

DataQ is a web-based collaborative tool to support librarians who are engaging in research data services by providing:

● An online space for assistance and collaboration

● A community of research data experts and subject librarians

● A knowledge base of practical data information for librarians

Enter DataQ

● Awarded Institute of Museum and Library Services Sparks! Ignition Grant for Libraries SP-02-14-0020-14

● Advisory Board meeting regularly

● Editorial Team formed and working on projects:○ 60 applications○ 15 editors selected○ 13 project volunteers

● Developing web-based tool

DataQ: Where Are We Now?

● Andrew Johnson, University of Colorado Boulder, PI

● Megan Bresnahan, Tufts University, Co-PI

● Joni Blake, GWLA

● Greg Monaco, GPN

● Ann Riley, ACRL

DataQ Advisory Board

● Kathleen Fear, University of Rochester● Elena Feinstein, Duke University● Cynthia Hudson-Vitale, Washington University in St. Louis● Erica Johns, Cornell University● Sherry Lake, University of Virginia● Stanislav Pejša, Purdue University● Sarah Pickle, Penn State University● Amanda Rinehart, The Ohio State University● Yasmeen Shorish, James Madison University● Cecilia Smith, Texas A&M University● Shea Swauger, Colorado State University● Steve Van Tuyl, Oregon State University● Mary Whelan, Arizona State University● Christie Wiley, University of Illinois Urbana-Champaign● Jackie Wirz, Oregon Health & Science University

DataQ Editorial Team

● Thea Atwood, University of Massachusetts Amherst● Carolyn Bishoff, University of Minnesota● Rebekah Cummings, University of Utah● Khue Dong, California State University, Long Beach● Christopher Eaker, University of Tennessee● Abigail Goben, University of Illinois at Chicago● Renaine Julian, Florida State University● Dessi Kirilova, Qualitative Data Repository● Chris Kollen, University of Arizona● Robert Olendorf, Los Alamos National Laboratory● Laura Palumbo, Rutgers University● Robert Sippel, Florida Institute of Technology● Dan Valen, Figshare

DataQ Project Volunteers

● Continue to develop content for website

● Website launch in July

● Pilot and assess service

● Develop sustainability plan by late October

DataQ: Next Steps

● Andrew Johnson (andrew.m.johnson@colorado.edu)

● Megan Bresnahan (megan.bresnahan@tufts.edu)

Questions?

Copyright 2015 by Andrew Johnson and Megan BresnahanThis work is licensed under a Creative Commons Attribution 4.0 International License.