The following research article appears in the latest issue of Evidence Based Library and Information Practice (EBLIP).
Research Information Network
University of Huddersfield
Evidence Based Library and Information Practice
Vol 9, No 3 (2014)
Objective – To test whether routinely-generated library usage data could be linked with information about students to understand patterns of library use among students from different disciplines at the University of Huddersfield. This information is important for librarians seeking to demonstrate the value of the library, and to ensure that they are providing services which meet user needs. The study seeks to join two strands of library user research which until now have been kept rather separate – an interest in disciplinary differences in usage, and a methodology which involves large-scale routinely-generated data.
Methods – The study uses anonymized data about individual students derived from two sources: routinely-generated data on various dimensions of physical and electronic library resource usage, and information from the student registry on the course studied by each student. Courses were aggregated at a subject and then disciplinary level. Kruskal-Wallis and Mann Whitney tests were used to identify statistically significant differences between the high-level disciplinary groups, and within each disciplinary group at the subject level.
Results – The study identifies a number of statistically significant differences on various dimensions of usage between both high-level disciplinary groupings and lower subject-level groupings. In some cases, differences are not the same as those observed in earlier studies, reflecting distinctive usage patterns and differences in the way that disciplines or subjects are defined and organised. While music students at Huddersfield are heavy library users within the arts subject-level grouping arts students use library resources less than those in social science disciplines, contradicting findings from studies at other institutions, Computing and engineering students were relatively similar, although computing students were more likely to download PDFs, and engineering students were more likely to use the physical library.
Conclusion – The technique introduced in this study represents an effective way of understanding distinctive usage patterns at an individual institution. There may be potential to aggregate findings across several institutions to help universities benchmark their own performance and usage; this would require a degree of collaboration and standardisation. This study found that students in certain disciplines at Huddersfield use the library in different ways to students in those same disciplines at other institutions. Further investigation is needed to understand exactly why these differences exist, but some hypotheses are offered.
Direct to Full Text Article