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Library Favorites and Resource Modeling

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Note: A downloadable version of this is available through the University of Michigan's institutional repository: http://deepblue.lib.umich.edu/handle/2027.42/93780

This presentation was first made at the LITA National Forum in Columbus, Ohio, on October 5, 2012.

Web site visitors to the University of Michigan library can save some kinds of resources (catalog items, databases, online journals, and article citations) to their user account for future use. Users can optionally organize these resources into categories (the system recommends courses they are taking and categories they have previously used, but individuals can create any categories they like).

In this session, attendees will learn about our design process (including user studies, design elements, and Drupal coding) and the usage of the tool. The pool of saved items becomes a rich data source for providing anonymized, aggregated data to library staff and site visitors. We will conclude by exploring some of the possible uses of this data, including building supplemental reading lists for specific courses.

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Library Favorites and Resource Modeling

  1. 1. Library Favorites & Resource Modeling Ken Varnum Web Systems Manager University of Michigan Library @varnumLITA National Forum 2012
  2. 2. Overview • Introduction • MTagger (social bookmarking) • Siloed Favorites • Unified Favorites • Where it’s leadingLITA National Forum 2012
  3. 3. MTaggerLITA National Forum 2012
  4. 4. Favorites • Mirlyn Classic has “My Shelf” • Mirlyn (VuFind) had “favorites” • We extended that metaphor into new systems as we built themLITA National Forum 2012
  5. 5. SilosLITA National Forum 2012
  6. 6. Catalog FavoritesLITA National Forum 2012
  7. 7. Search Tools FavoritesLITA National Forum 2012
  8. 8. Search Tools Favorites InterfaceLITA National Forum 2012
  9. 9. Why Integrate? • Power of Favorites is in mixing & matching • A small workgroup formed Albert Bertram, Sigrid Cordell, Sonali Mishra, Jon Rothman, and Ken Varnum • Conducted a small user study • Showed them our “recommended tags” functionLITA National Forum 2012
  10. 10. Tags • We had experience with tagging • Tagging was wrong user interaction • Actual needs: – Save stuff for later – Organize it logically – Tie to academic lifeLITA National Forum 2012
  11. 11. Favorite Tags • People had been tagging Mirlyn favorites • We noticed some trends – Tags were sometimes course names or abbreviations – Tags often highly idiosyncratic (names of projects, evaluations of materials’ worth) – Unlikely to be helpful to othersLITA National Forum 2012
  12. 12. MLibrary Favorites Interface
  13. 13. Favorites in Articles (1/4)LITA National Forum 2012
  14. 14. Favorites in Articles (2/4)LITA National Forum 2012
  15. 15. Favorites in Articles (3/4)LITA National Forum 2012
  16. 16. Favorites in Articles (4/4)LITA National Forum 2012
  17. 17. Recommended TagsLITA National Forum 2012
  18. 18. How We Built It • All done in Drupal 6 • Very closely tied to our own systems – Save record IDs mostly – Articles is a challenge • Will probably move to MySQL and Views in Drupal 7 early next yearLITA National Forum 2012
  19. 19. How’s It Used? • Didn’t launch until September 11, 2012 • Initial data based on usage 9/11-10/1, 2012 • Thanks to Albert Bertram for pulling together the dataLITA National Forum 2012
  20. 20. Number of Users Who Saved Favorites 9/11-10/1/2012 (n=1333) Other Grad 33% 31% Undergrad 20% Faculty/staff 16%LITA National Forum 2012
  21. 21. Number of Users Who Added Tags 9/1/12-10/1/12 (n=255) Other Grad 31% 34% Faculty/st aff Undergrad 17% 18%LITA National Forum 2012
  22. 22. Who Uses Tags? Academic % Who Added Status a Tag Grad (87) 20.91% Undergrad (47) 17.47% Faculty/staff (42) 19.35% Other (79) 18.33% Overall (255) 19.13%LITA National Forum 2012
  23. 23. Distinct Items Added Since Launch (n=7111) Databases Online 3% Journals 2% ArticlesPlus 18% Mirlyn 77%LITA National Forum 2012
  24. 24. Number of User Favorites from Multiple Sources Two Three 50 4 Four 2 One 1287LITA National Forum 2012
  25. 25. Users with Course Tags by Kind (n=98) Faculty/staff Other 4% 5% Undergrad 35% Grad 56%LITA National Forum 2012
  26. 26. Items with Course Tags by Source (n=351) Databases Online 1% Journals 0% ArticlesPlus 37% Mirlyn 62%LITA National Forum 2012
  27. 27. What Will We Do with the Data • Mix user favorites with course information • Combine data from Course Management System & Favorites • Compare favorites with syllabi • Build course profile pages • Generate reading lists • Put (some?) favorites on personal start pageLITA National Forum 2012
  28. 28. Thanks Ken Varnum varnum@umich.edu @varnumLITA National Forum 2012

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