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Cost Per User

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Analyzing EZProxy Logs for Collection Development

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Cost Per User

  1. 1. Cost Per User Analyzing EZProxy Logs For Collection Development Tiffany LeMaistre 2015 Charleston Conference
  2. 2. About Nevada State College First Generation
  3. 3. Proxy What? WHAT IT MEANS AND HOW WE DO IT
  4. 4. Proxy What? • EZProxy is OCLC’s authentication system for library resources • EZProxy logs are web logs that can be setup to store and save usage data • Those log files can be compared with student data using the username as a match point Library Information & Technology Services Institutional Research
  5. 5. Why Cost Per User? THAT SEEMS LIKE A LOT OF WORK FOR ANOTHER CPU SPREADSHEET
  6. 6. Why Cost Per User? • True comparison • Available for every resource • No concerns about: • Missing data • Unclear standards of measurement • Estimates based on incomplete information
  7. 7. Live Data Demo HTTP://BIT.LY/NSCLIBUSE
  8. 8. Online Resource Use in Tableau
  9. 9. Select Filters to Change Display
  10. 10. Collect Use That Vendors Don’t Provide
  11. 11. Collect Use of Open Access Resources
  12. 12. Compare Non-COUNTER Resources
  13. 13. Why Cost Per User? • Is the library achieving economies of scale? • Is the resource core or supplemental? • What are the characteristics of users? • Interdisciplinary or discipline-specific • Students or faculty • Freshman or seniors • GPA, grades on research assignments Users Value Cost
  14. 14. ROI with Individual Subscriptions
  15. 15. Why Cost Per User? • Is the library achieving economies of scale? • Is the resource core or supplemental? • What are the characteristics of users? • Interdisciplinary or discipline-specific • Students or faculty • Freshman or seniors • GPA, grades on research assignments Users Value Cost
  16. 16. Access Time Is Inconsistent
  17. 17. Compare New to Repeat Users Instead
  18. 18. Use of the Discovery Search New User 24% Repeat User 76%
  19. 19. Why Cost Per User? • Is the library achieving economies of scale? • Is the resource core or supplemental? • What are the characteristics of users? • Interdisciplinary or discipline-specific • Students or faculty • Freshman or seniors • GPA, grades on research assignments Users Value Cost
  20. 20. Add in Student Data for More Insights
  21. 21. Mostly Seniors Use the Discovery Search
  22. 22. Interdisciplinary Use of Historic NY Times
  23. 23. Heavily Nursing Use of UpToDate
  24. 24. Many Factors Could Influence GPA
  25. 25. Learn More University of Minnesota
  26. 26. Citations Collins, E., & Stone, G. (2014). Understanding patterns of library use among undergraduate students from different disciplines. Evidence Based Library and Information Practice, 9(3), 51–67. Cox, B., & Jantti, M. (2012a). Capturing business intelligence required for targeted marketing, demonstrating value, and driving process improvement. Deputy Vice-Chancellor (Education) - Papers. http://doi.org/10.1016/j.lisr.2012.06.002 Cox, B., & Jantti, M. (2012b, July 18). Discovering the Impact of Library Use and Student Performance. Retrieved from http://www.educause.edu/ero/article/discovering-impact-library-use-and-student-performance Fransen, J. (2013). How do Engineering Students and Faculty use Library Resources? American Society for Engineering Education. Retrieved from http://conservancy.umn.edu/handle/11299/151819 Haddow, G., & Joseph, J. (2010). Loans, Logins, and Lasting the Course: Academic Library Use and Student Retention. Australian Academic & Research Libraries, 41(4), 233–244. Jantti, M., & Cox, B. (2011). Measuring the value of library resources and student academic performance through relational datasets. Deputy Vice-Chancellor (Education) - Papers. Retrieved from http://ro.uow.edu.au/asdpapers/121 JISC. (2015). Library Analytics and Metrics Project. Retrieved February 9, 2015, from http://jisclamp.mimas.ac.uk/ JISC, & University of Huddersfield. (n.d.). Library Impact Data Project. Retrieved February 7, 2015, from https://library3.hud.ac.uk/blogs/lidp/
  27. 27. Citations Magnuson, L., & Davis, R. C. (2014, October 29). Analyzing EZProxy Logs. Retrieved from http://acrl.ala.org/techconnect/?p=4684 Nackerud, S., Fransen, J., Peterson, K., & Mastel, K. (2013). Analyzing Demographics: Assessing Library Use Across the Institution. Portal: Libraries and the Academy, 13(2). Retrieved from http://muse.jhu.edu/journals/portal_libraries_and_the_academy/v013/13.2.nackerud.html Nevada State College. (2014). Nevada State College: Facts & Figures. Retrieved February 13, 2015, from http://nsc.nevada.edu/2069.asp Oakleaf, M. (2010). The Value of Academic Libraries: A Comprehensive Research Review and Report. Chicago, IL: Association of College and Research Libraries. Retrieved from http://www.ala.org/acrl/sites/ala.org.acrl/files/content/issues/value/val_report.pdf OCLC. (2015). Log File Analysis. Retrieved February 13, 2015, from http://www.oclc.org/support/services/ezproxy/documentation/loganalysis.en.html Sharkey, M., & Thanki, S. (2014, November). How It’s Made: Predictive Analytics. Panel Presentation presented at the WCET 2014 Annual Conference, Portland, Oregon. Retrieved from http://wcetconference.wiche.edu/session/how-it%E2%80%99s-made-predictive-analytics Soria, K., Fransen, J., & Nackerud, S. (2013). Library Use and Undergraduate Student Outcomes: New Evidence for Students’ Retention and Academic Success. Portal, 13(2), 147–164. Soria, K. M. (2013). Factors Predicting the Importance of Libraries and Research Activities for Undergraduates. The Journal of Academic Librarianship, 39(6), 464–470. http://doi.org/10.1016/j.acalib.2013.08.017
  28. 28. Citations Stone, G., & Collins, E. (2013). Library usage and demographic characteristics of undergraduate students in a UK university. Performance Measurement and Metrics, 14(1), 25–35. http://doi.org/10.1108/14678041311316112 Stone, G., Ramsden, B., & Pattern, D. (2011a). Library Impact Data Project Toolkit (p. 15). University of Huddersfield. Retrieved from http://eprints.hud.ac.uk/11571/1/Toolkit_final.pdf Stone, G., Ramsden, B., & Pattern, D. (2011b). Looking for the Link Between Library Usage and Student Attainment. Ariadne, (67). Retrieved from http://www.ariadne.ac.uk/issue67/stone-et-al The Chronicle of Higher Education. (n.d.). Retrieved November 3, 2015, from https://chronicle.com/subscribe/?PK=M1224 University of Minnesota Libraries. (n.d.). Library Data and Student Success. Retrieved February 7, 2015, from http://blog.lib.umn.edu/ldss/ White, S., & Stone, G. (2010). Maximizing use of library resources at the University of Huddersfield: Based on a breakout session held at the 33rd UKSG Conference, Edinburgh, April 2010. Serials: The Journal for the Serials Community, 23(2), 83–90. http://doi.org/10.1629/2383 Whitmire, E. (2003). Cultural diversity and undergraduates’ academic library use. The Journal of Academic Librarianship, 29(3), 148–161. http://doi.org/10.1016/S0099-1333(03)00019-3 Wong, S. H. R., & Webb, T. D. (2011). Uncovering Meaningful Correlation between Student Academic Performance and Library Material Usage. College & Research Libraries, 72(4), 361–370. http://doi.org/10.5860/crl-129
  29. 29. Tiffany LeMaistre Electronic Resources and Discovery Librarian Nevada State College Marydean Martin Library E-mail: tiffany.lemaistre@nsc.edu Phone: (702) 992-2807

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