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Library Information Science Research 36 2014

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Library Information Science Research 36 2014
Library & Information Science Research 36 (2014) 84–90

Contents lists available at ScienceDirect

Library & Information Science Research

Research data management services in academic research libraries and perceptions of librarians
Carol Tenopir a, Robert J. Sandusky b, Suzie Allard a, Ben Birch a,⁎ a b

School of Information Sciences, University of Tennessee, 451 Communications Bldg., 1345 Circle Park Drive, Knoxville, TN 37996-0341, USA
Richard J. Daley Library, MC-234, 801 S. Morgan St., Chicago, IL 60607, USA

a r t i c l e

i n f o

Available online 19 May 2014

a b s t r a c t
The emergence of data intensive science and the establishment of data management mandates have motivated academic libraries to develop research data services (RDS) for their faculty and students. Here the results of two studies are reported: librarians ' RDS practices in U.S. and Canadian academic research libraries, and the
RDS-related library policies in those or similar libraries. Results show that RDS are currently not frequently employed in libraries, but many services are in the planning stages. Technical RDS are less common than informational RDS, RDS are performed more often for faculty than for students, and more library directors believe they offer opportunities for staff to develop RDS-related skills than the percentage of librarians who perceive such opportunities to be available. Librarians need opportunities to learn more about these services either on campus or through attendance at workshops and professional conferences.
© 2014 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-SA license
(http://creativecommons.org/licenses/by-nc-sa/3.0/).

1. Introduction
Science has entered a “fourth paradigm” that is more collaborative, more computational, and more data intensive (Hey, Tansley, & Tolle,
2009a) than the previous experimental, theoretical, and computational paradigms. This emerging scientific paradigm is often referred to as



References: Association of Research Libraries (2006). To stand the test of time: Long-term stewardship of digital data sets in science and engineering Association of Research Libraries (2010). E-science and data support services: A study of ARL member institutions Cheek, F. M., & Bradigan, P. S. (2010). Academic health sciences library research support. Corrall, S., Keenan, M. A., & Afzal, W. (2013). Bibliometrics and research data management services: Emerging trends in library support for research 636–674. http://dx.doi.org/10.1353/lib.2013.0005 Council on Library and Information Resources (2008) Creamer, A., Morales, M. E., Crespo, J., Kafel, D., & Martin, E. R. (2012). An assessment of needed competencies to promote the data curation and management librarianship Gabridge, T. (2009). The last mile: The liaison role in curating science and engineering research data Government of Canada (2013). Tri-agency open access policy. Retrieved from http://www. Hey, T., Tansley, S., & Tolle, K. (2009a). The fourth paradigm: Data-intensive scientific discovery. Hey, T., Tansley, S., & Tolle, K. (2009b). Jim Gray on eScience: A transformed scientific method

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