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Making the most of JUSP 4th March - Afternoon

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Birmingham – 4th March 2015 (afternoon session)
Making the Most of JUSP

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Usage profiling

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Usage profiling in JUSP
» A comparison of your usage from a selected publisher with
average usage of that publisher by oth...

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Making the most of JUSP 4th March - Afternoon

  1. 1. Birmingham – 4th March 2015 (afternoon session) Making the Most of JUSP
  2. 2. Usage profiling
  3. 3. Usage profiling in JUSP » 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 What is usage profiling? 3
  4. 4. Usage profiling in JUSP » 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 Things to bear in mind 4
  5. 5. Usage profiling in JUSP How to run the reports 5 Calendar year Academic year
  6. 6. Usage profiling in JUSP Calendar year report 6
  7. 7. Usage profiling in JUSP Academic year report 7
  8. 8. Usage profiling in JUSP » 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 What can you do with the data? 8
  9. 9. Usage profiling in JUSP » 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 What can you do with the data? 9
  10. 10. Usage profiling in JUSP » 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 What can you do with the data? 10
  11. 11. JUSP and other services
  12. 12. KB+ demo Damyanti Patel
  13. 13. KB+ shared services - 1 » JUSP API allows KB+ to gather title-level stats regularly » JUSP API also has functionality for KB+ to gather journal level information e.g. new titles and details of institutions and publishers as we add them JUSP -> KB+ 17/03/2015 13 KB+ -> JUSP » JUSP gathers title lists from KB+ public export page and adds data to our reports where users can view title lists over single and multiple years
  14. 14. KB+ shared services - 2 » Both services currently maintain independent core title features and functions, so users can mark titles up in two places: messy and duplication of effort » New service in development which will provide a single shared database of core titles, which will be edited through KB+ and which JUSP will use to flag up marked titles in reports » No more editing in JUSP. Data passed from KB+ to JUSP nightly using new API Core titles 17/03/2015 14
  15. 15. Interoperability » In addition to gathering data via SUSHI, JUSP can export data as R4 compliant reports.These can be imported into: › UStat › EBSCONET Usage Consolidation › 360 COUNTER › Millennium » Management of 3rd party products via JUSP interface » JUSP API for shared services - http://jusp.mimas.ac.uk/faq/ JUSP SUSHI server 17/03/2015 15
  16. 16. JUSP future developments and feedback
  17. 17. Ebooks » Increased demand for ebook usage statistics and feasibility study led to additional funding to develop JUSP to include ebook usage statistics » 1 year project (starting February 2015) to pilot ebook usage statistics service – resulting in a service by the end of the project » Progress so far: › Libraries selected for pilot › Priority publishers and aggregators selected and contacted › Technical infrastructure planned (based on previous feasibility study) 17/03/2015 17
  18. 18. Other potential future developments » Other resources (e.g. DB1 -Total Searches, Result Clicks and RecordViews by Month and Database ) » Report enhancements » JR5 – Number of Successful Item Requests byYear-of-Publication (YOP) and Journal » JR2 – Access Denied to Full-Text Articles by Month, Journal and Page-type 17/03/2015 18
  19. 19. Thank you 17/03/2015 19 JUSP http://jusp.mimas.ac.uk jusp@mimas.ac.uk

Editor's Notes

  • 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).
  • 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).

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