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Research data services in academic libraries: Data intensive roles for the future?

January 1, 2015

Objectives: The primary objectives of this study are to gauge the various levels of Research Data Service academic libraries provide based on demographic factors, gauging RDS growth since 2011, and what obstacles may prevent expansion or growth of services.

Methods: Survey of academic institutions through stratified random sample of ACRL library directors across the U.S. and Canada. Frequencies and chi-square analysis were applied, with some responses grouped into broader categories for analysis.

Results: Minimal to no change for what services were offered between survey years, and interviews with library directors were conducted to help explain this lack of change.

Conclusion: Further analysis is forthcoming for a librarians study to help explain possible discrepancies in organizational objectives and librarian sentiments of RDS.

Publication Year 2015
Title Research data services in academic libraries: Data intensive roles for the future?
DOI 10.7191/jeslib.2015.1085
Authors Carol Tenopir, Dane Hughes, Suzie Allard, Mike Frame, Ben Birch, Robert Sandusky, Madison L. Langseth, Andrew Lundeen
Publication Type Article
Publication Subtype Journal Article
Series Title Journal of eScience Librarianship
Index ID 70158975
Record Source USGS Publications Warehouse
USGS Organization Core Science Analytics, Synthesis, and Libraries