London – 11th June 2015 (afternoon – part 1)

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Presentation transcript:

London – 11th June 2015 (afternoon – part 1) Making the Most of JUSP London – 11th June 2015 (afternoon – part 1) Fire instructions Toilets

Usage profiling

Usage profiling in JUSP What is usage profiling? A comparison of your usage from a selected publisher with average usage of that publisher by other libraries in the same Jisc band, region and group(s) Two different reports: Calendar year Academic year (which includes FTE information) Available for an increasing number of publishers participating in JUSP

Usage profiling in JUSP Things to bear in mind The libraries you are compared with may not take the same deal as you Some libraries may only have subscribed titles with that publisher Some libraries may not use a particular publisher The report provides averages and you cannot see institution- specific data for any other institution Not all JUSP publishers have agreed to usage profiling

Usage profiling in JUSP How to run the reports Calendar year Academic year

Usage profiling in JUSP Calendar year report JR1 (including gateways and intermediaries) JR1a (archive) JR1 – JR1a i.e. Frontfile Number of libraries compared with in each group which will include old and new Jisc bands, HESA regions, and other groups to which you belong (e.g. Pre-1992, Post-1992, RLUK, Russell Group, Million +, University Alliance, UKADIA, Guild HE, SHEDL, WHELF, M25 Can download as CSV file for further analysis (e.g. in Excel).

Usage profiling in JUSP Academic year report All the features of the calendar year report, plus: - Total FTE information (staff + student) for you and your comparator groups - Average FTE (staff + student) for each of your comparator groups - Number of requests per FTE shown in brackets after totals Can download as CSV file for further analysis (e.g. in Excel).

Usage profiling in JUSP What can you do with the data? Compare your usage with averages for institutions of similar type that have deals or subscribed titles with the selected publisher Provide a context for what constitutes "good usage" by comparing your own figures with averages for other similar institutions Promote evidence of higher than average usage within your institution Seek reasons for lower than average usage

Usage profiling in JUSP What can you do with the data? Using the academic year report, see how your usage per FTE compares with the average See how your FTE numbers compare with the average and whether this may affect usage that is higher or lower than average Use in conjunction with other evidence (e.g. from the SCONUL annual statistics) to see how well resources are being used within your institution in relation to total spend and other factors

Usage profiling in JUSP What can you do with the data? Compare current data with previous years to see if usage patterns have changed in relation to the averages Download as a CSV file to do your own more detailed analysis in Excel

Thank you JUSP http://jusp.mimas.ac.uk jusp@mimas.ac.uk 05/12/2018