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Automated Reshelving Statistics as a Tool in Reference Collection Management

Jeanie M. Welch (Reference unit head, J. Murrey Atkins Library, University of North Carolina at Charlotte. <ali00jmw@email.uncc.edu>.)
Lynn A. Cauble (Reference collection access coordinator, J. Murrey Atkins Library, University of North Carolina at Charlotte. <ali00jmw@email.uncc.edu>.)
Lara B. Little (Reference collection access clerk, J. Murrey Atkins Library, University of North Carolina at Charlotte. <ali00jmw@email.uncc.edu>.)

Reference Services Review

ISSN: 0090-7324

Article publication date: 1 December 1997

527

Abstract

Reference librarians must now confront integrating print and electronic sources into an efficient reference collection. Often the print reference collection has to be downsized to accommodate electronic sources within the reference area. In this article, Welch, Cauble, and Little discuss a project to track the usage of print reference titles through automated reshelving statistics and the usefulness of these statistics in making reference collection development and management decisions. Over a two‐year period the reference staff at the University of North Carolina at Charlotte recorded reshelving statistics. The statistics were analyzed and proved to be useful in making weeding and acquisition decisions as part of an overall program of reference service evaluation.

Keywords

Citation

Welch, J.M., Cauble, L.A. and Little, L.B. (1997), "Automated Reshelving Statistics as a Tool in Reference Collection Management", Reference Services Review, Vol. 25 No. 3/4, pp. 79-85. https://doi.org/10.1108/00907329710307165

Publisher

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MCB UP Ltd

Copyright © 1997, MCB UP Limited

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