Library Analytics and Metrics Project

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This was a presentation delivered at the 10th Northumbria Conference in York during July 2013. It provides a background, and introduction and overview to the Library Analytics and Metrics Project (LAMP) work that Jisc, Mimas (University of Manchester) and University of Huddersfield are collaborating on.

The project will develop a prototype shared library analytics service for UK universities and colleges.

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Library Analytics and Metrics Project

  1. 1. Presenter or main title… Session Title or subtitle… 22nd July, 2013. York Safety in Numbers: Developing a shared analytics service for academic libraries
  2. 2. who we are… Ben Showers (Jisc) Programme manager, Digital Infrastructure @benshowers b.showers@jisc.ac.uk
  3. 3. who we are… GrahamStone (University of Huddersfield) Information Resources Manager/ Senior Research Fellow @graham_stone g.stone@hud.ac.uk
  4. 4. about LAMP… jisclamp.mimas.ac.uk #jiscLAMP This work is licensed under a Creative Commons Attribution 3.0 Unported License http://eprints.hud.ac.uk/17913
  5. 5. Library Impact Data Project
  6. 6. To support the hypothesis that… “There is a statistically significant correlation across a number of universities between library activity data and student attainment”
  7. 7. Library Impact Data Project •Phase I looked at over 33,000 students across 8 universities •Phase II looked at around 2,000 FT undergraduate students at Huddersfield
  8. 8. Library Impact Data Project 1 Original data requirements • For each student who graduated in a given year, the following data was required: – Final grade achieved – Number of books borrowed – Number of times e-resources were accessed – Number of times each student entered the library, e.g. via a turnstile system that requires identity card access – School/Faculty
  9. 9. Library Impact Data Project – Showed a statistical significance between: • Final grade achieved • Number of books borrowed • Number of times e- resources were accessed – Across all 8 partners – Not a cause and effect relationship
  10. 10. Library Impact Data Project 2 Additional data • Demographics • Discipline • Retention • On/off campus use • Breadth and depth of e- resource usage • UCAS points (entry data) • Correlations for Phase 1
  11. 11. Library Analytics Survey We asked: Ho w im po rtant willanalytics be to acade m ic librarie s no w and in the future , and what is the po te ntialfo r a se rvice in this are a? With thanks to Joy Palmer and the team at MIMAS for the initial survey analysis
  12. 12. Automated provision of analytics demonstrating the relationship between student attainment and resource/library usage within your institution
  13. 13. In principle, would your institution be willing to contribute data that could be linked to anonymised individuals? • Significant appetite for analytics services among this sample – But more hesitation over sharing entry data and other student data than other forms of usage data • Strong willingness to share a broad range of data – preference to be identified by JISC band (91% in favour) – as opposed to named institution (47%)
  14. 14. Is this a current strategic priority?
  15. 15. What about the next five years?
  16. 16. Key strategic drivers 1. Enhancing the student experience 2. Demonstrating value for money 3. Supporting research excellence
  17. 17. Appetite for a national analytics service • An analytics service providing libraries with actionable data to transform the services and support institutions provide to students and researchers
  18. 18. LAMP: Library Analytics and Metrics Project • Running January 2013 – December2013 • A partnership between Jisc, Mimas (University of Manchester) and the University of Huddersfield • UK library community are part of the Community Advisory and Planning Group
  19. 19. LAMP: Library Analytics and Metrics Project The project will develop a prototype shared library analytics service for UK academic libraries: – Envisioned as a data dashboard. – Enabling libraries to capitalise on the many types of data they capture in day-to-day activities. – To support the improvement and development of new services and demonstrate value and impact in new ways across the institution.
  20. 20. data
  21. 21. Use cases •Demographics •Discipline •Student usage •Staff usage •Collections •Outcomes
  22. 22. Data types and sources Institutional: Gate count, circulation, usage, student records, school/faculty data. Shared services: Jusp, IRIS, Raptor, KB+, OpenURL
  23. 23. Identifiers The need foridentifiers that don’t identify! Gaining deeper insights The problem of updates The burden of data submission
  24. 24. technology
  25. 25. APIs LAMP APIs and local library development External APIs
  26. 26. Infrastructure
  27. 27. Visualisation ‘Dashboard’ Meaningful visuals Human interpretation
  28. 28. ethics
  29. 29. legal Registry and the burden of compliance (hot) Legal and ethical framework (medium) Project principles (lukewarm)
  30. 30. ethical How does this fit with the wider institutional mission?
  31. 31. keep up with developments The blog http://jisclamp.mimas.ac.uk Twitter#jiscLAMP Autumn workshop(s)
  32. 32. feedback Via the blog Via the Community Advisory Group Via SCONUL http://farm5.staticflickr.com/4115/4865344581_f770820a11_o.jpg
  33. 33. forthcoming events… • We are planning a series of webinars and events in the Autumn • More details will be available on the blog http://farm6.staticflickr.com/5113/6913646700_e98d7e943b_o.jpg
  34. 34. getting involved If you think your institution wants to be involved – talk to us or If you are doing something similar– please get in touch http://farm6.staticflickr.com/5088/5349392325_e990bb18ba_o.jpg
  35. 35. thankyou Ben Showers (Jisc) b.showers@jisc.ac.uk Graham Stone (Huddersfield) g.stone@hud.ac.uk http://jisclamp.mimas.ac.uk This work is licensed under a Creative Commons Attribution 3.0 Unported Licensehttp://eprints.hud.ac.uk/17913

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