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What Can Be Learned From Usage Data

This research explores the analysis of usage data, focusing on accessed content types, user behaviors, and limitations of data interpretation, offering insights for future research strategies.

shad-zamora
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What Can Be Learned From Usage Data

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  1. What Can Be Learned From Usage Data Lynn Silipigni Connaway Research Scientist Mark Bendig Systems Analyst ASIST 2003 Annual Conference October 22, 2003

  2. What Can Be Learned • What is being accessed • Subject areas • Types of content • Publishers of content • Depth of access • Perusing • In-depth reading • Number of items accessed • Number of screens/pages accessed • Patterns of access • When accessed • Length of use/activity • Movements within the site and the text • System and interface design

  3. Limitations of Usage Data • Do not know • Who the users are • Usually cannot associate user demographics with usage patterns • Where they get access to the resources • How they use resources • Why they use resources • Massive amounts of data to manipulate

  4. netLibrary Subject Areas

  5. Accesses by ARL Libraries

  6. Accesses by Academic Libraries

  7. Accesses by Public Libraries

  8. Accesses by Special Libraries

  9. Accesses by Federal Libraries

  10. Accesses by School Libraries

  11. netLibrary Site Activity • Unique Users • Tues., 2/26/02 = 3796 • Wed., 2/26/03 = 8789 • Total Sessions • Tues., 2/26/02 = 3989 • Wed., 2/26/03 = 9458

  12. netLibrary Session Durations

  13. netLibrary Login Times

  14. Books Viewed Per Session

  15. Minimum Maximum Average 2/26/02 1 31 1.27 2/26/03 1 650 1.42 Books Viewed Per Session

  16. Pages Viewed Per Book

  17. Minimum Maximum Average 2/26/02 1 594 13.41 2/26/03 3 722 13.61 Pages Viewed Per Book

  18. Pages Viewed Per Session

  19. Minimum Maximum Average 2/26/02 7 594 17.15 2/26/03 1 1508 19.34 Pages Viewed Per Session

  20. Data Interpretation • Increase in number of users • Increase in duration of sessions • Little difference in • Books viewed per session • Pages viewed per session • Pages viewed per book • Peak usage times correlate with time most libraries are open and available • Need to distinguish differences in time zones

  21. Future Research • Identify the whys and hows of user satisficing of information needs • Online survey • Focus group interviews • Structured field observations • Structured interviews • Continue to collect, analyze, and compare transaction log data • Users’ geographical location • Identify books per unique user • Correlate data sets

  22. Questions and Discussion connawal@oclc.org

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