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Using Copac data to benchmark collections

Authors :
Diana Massam
Ruth Elder
Source :
Performance Measurement and Metrics. 17:194-202
Publication Year :
2016
Publisher :
Emerald, 2016.

Abstract

Purpose – The Copac Collections Management (CCM) project has been underway since 2011 with the goal of exploring how Copac can make a real difference for collection managers. By making Copac data work harder and building prototype collection analysis features on its extensive database, the collections management tools can provide valuable information from the catalogues of the UK’s major research libraries. The paper aims to discuss these issues. Design/methodology/approach – Developed to support staff in collection management activities the CCM tools offer a web-based collection management support service. It is a “grass roots” project designed to meet the needs of library practitioners and its development has been a community-based collaboration with extensive design input, consultation, feedback and support from the wider library community. Findings – This paper presents a case study showing how the tools are now embedded into “business as usual” at the University of York library. The case study reflects on how York is using the tools to assist: identify collection strengths and contribute to the identification of “unique and distinctive collections”; identify collection gaps and produce lists of potential titles for purchase; inform stock editing policies; review and prioritize work on “hidden collections”. The paper outlines the benefits of using the tools and considers lessons learnt. Originality/value – The paper offers an overall view of the tools and the potential uses by the UK higher education community. The case study will be of interest to libraries in exploring new ways to approach collection management issues, with a view to making efficient use of available resources.

Details

ISSN :
14678047
Volume :
17
Database :
OpenAIRE
Journal :
Performance Measurement and Metrics
Accession number :
edsair.doi...........b24867f6fbb01764951bbb154cd29650
Full Text :
https://doi.org/10.1108/pmm-04-2016-0017