Centralised classification of library materials- a benchmarking study.
DOI:
https://doi.org/10.29173/lirg327Keywords:
classifying, cataloguing, Health science, bibliographic records, fuzzy matching process, subject string analysis, shelf arrangementAbstract
The Library Management Group of The University Of Huddersfield set up a pilot study to examine altemative procedures for classifying and cataloguing library material in the Health sciences. The study tested the impact of using classification and subject index terms in bibliographic records for titles in the health subject area. The work of the group concentrated on two areas: -establishing a benchmark for throughput in Technical Services in terms of speed, cost and availability of externally supplied class numbers -analysis of differences in classification numbers and subject indexing terms between those human assigned and system assigned. Samples of data were analysed using SPSS software; a fuzzy matching process was undertaken for the subject string analysis. The results showed considerable savings to be made in terms of both speed and cost. lt was instrumental in the decision to change the existing method of acquiring classification numbers.The hit rate for records and the impact on the shelf arrangement were at an acceptable level. The study produced reliable information to provide a benchmark for future developments (for exarnple outsourcing shelf ready books) and performance indicators.Downloads
Issue
Section
License
Authors retain copyright and grant the journal right of first publication with the work. The work is licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to distribute the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.