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Applicability of Evidence-based Acquisition Model to Collection Development in Engineering Subjects

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Engineering Libraries Division Technical Session 3

Tagged Division

Engineering Libraries

Page Count

13

Permanent URL

https://peer.asee.org/29805

Download Count

25

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Paper Authors

biography

Daniela Solomon Case Western Reserve University Orcid 16x16 orcid.org/0000-0002-6200-5216

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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.

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biography

Brian C. Gray Case Western Reserve University

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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).

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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. https://peer.asee.org/29805

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