Applicability of Evidence-based Acquisition Model to Collection Development in Engineering Subjects
- Conference
- Location
-
Salt Lake City, Utah
- Publication Date
-
June 23, 2018
- Start Date
-
June 23, 2018
- End Date
-
July 27, 2018
- Conference Session
- Tagged Division
-
Engineering Libraries
- Page Count
-
13
- DOI
-
10.18260/1-2--29805
- Permanent URL
-
https://peer.asee.org/29805
- Download Count
-
1338
Paper Authors
Daniela Solomon
Case Western Reserve University
orcid.org/0000-0002-6200-5216
Daniela Solomon is Research Services Librarian for Biomedical Engineering, Civil Engineering, Electrical Engineering and Computer Science, Materials Science and Engineering, Mechanical and Aerospace Engineering at Kelvin Smith Library, Case Western Reserve University. She is interested in bibliometrics, altmetrics, data management, and library instruction.
Brian C. Gray Case Western Reserve University
Brian C. Gray is the Team Leader for Research Services for the Kelvin Smith Library at Case
Western Reserve University. He is the engineering librarian for chemical engineering and macromolecular science, and has covered various engineering disciplines since 2005. As Team Leader, he manages the overall collection budget for the library, and interacts highlight with vendors on new models of acquisitions. He has held leadership positions for the Library Leadership and Management Association (LLAMA) and the Academic Library Association of Ohio. He holds a B.S. Chemical Engineering (University of Akron), MLIS (Kent State University), and MBA (Case Western Reserve University).
Abstract
This study presents the results of local implementation of evidence-based acquisition (EBA) models from several publishing vendors. The combination of decreasing funds for engineering monographs and a new library strategic goal of maximizing campus wide access to library collections, forced the engineering librarians to pilot alternative acquisition models that offer access to as much content as possible within the reduced budget. We identified criteria applicable to EBA model assessments and the limitations of each model within our library. For engineering disciplines we determined that EBA models provide significantly enhanced access to needed content, offer valuable insights into current campus information needs, and raise the level of library efficiency in collection development and technical services processing.
Solomon, D., & Gray, B. C. (2018, June), Applicability of Evidence-based Acquisition Model to Collection Development in Engineering Subjects Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--29805
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2018 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015