Who Favorited That?

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Our library built a tool to allow web site visitors to save items from the article discovery tool, the catalog, and the journal and database finder for future use. When students save an item, they are prompted to add a tag, with their currently enrolled courses suggested. This talk will describe the results of a study of the first year's use of the tool. This presentation will explore the following topics: What kinds of students use course tags? How do items with a course compare with reading lists for those courses? How are students using the saved items?

For a downloadable version, please see http://hdl.handle.net/2027.42/100350

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  • “My Shelf” was one of the few parts of Metalib that was broadly liked and appreciated. We needed to keep it alive, somehow, when we replaced Metalib with our homegrown Summon interfaceOriginal VuFind had a favorites tool we didn’t like, so we built our own on top of our social bookmarking tool (may it rest in peace)Summon didn’t have persistent favorites in the native interface; we built our own interface, and added favorites it to several year laters.Kept favorites in the functions of Metalib that we re-created (database finder, journal finder)Integrated because people don’t want to look in different places for their stuff. And some want to organize things.
  • Needed a quick replacement for MetalibExpediencyExplore the value
  • Walk through the screen, what’s where, how it works.
  • In the discussion in the following slides, going to focus on people with only one role. Also going to set aside “Metalib Search” items.Data are from item creation through 9/21/2013Data are tricky; we lost creation dates when we upgraded to Drupal 7 in January 2013. Before that, were 170580Mirlyn: 88838There are about 240,000 items (as of 9/21/2013)Roughly 100,000 migrated into unified favorites170,000 in system when we went to Drupal 765,000 added since 1/29/2013Articles: 73270Journals: 5820Databases: 1615Savedsearches: 1037
  • Everyone – including people with multiple roles (hard to tease multiple roles out of the data)
  • Includes librarians
  • Includes non-librarian library employees
  • Percentages in left refer to percent of Favorites users
  • Ignoring 25 Search Tools items.
  • Happy to answer any questions.
  • Who Favorited That?

    1. 1. Who Favorited That? Ken Varnum Web Systems Manager University of Michigan Library @varnum 9 November 2013 Ken Varnum
    2. 2. Overview • • • • What are “Favorites”? Brief History & Background Unified Favorites Usage patterns 9 November 2013 @varnum | #litaforum Ken Varnum
    3. 3. Favorites • Ex Libris’ Metalib & Aleph OPAC “My Shelf” • Mirlyn (VuFind-ish) has “favorites” • We extended that metaphor into new systems as we built them • Then integrated the interfaces & data stores 9 November 2013 @varnum | #litaforum Ken Varnum
    4. 4. Silos 9 November 2013 @varnum | #litaforum Ken Varnum
    5. 5. MLibrary Favorites Interface 9 November 2013 @varnum | #litaforum Ken Varnum
    6. 6. Favorites in Articles (1/4) 9 November 2013 @varnum | #litaforum Ken Varnum
    7. 7. Favorites in Articles (2/4) 9 November 2013 @varnum | #litaforum Ken Varnum
    8. 8. Favorites in Articles (3/4) 9 November 2013 @varnum | #litaforum Ken Varnum
    9. 9. Favorites in Articles (4/4) 9 November 2013 @varnum | #litaforum Ken Varnum
    10. 10. How Many Items Are We Talking About? All Mirlyn Role Articles Database Journal Metalib Search Faculty 27123 15510 5955 3482 2065 111 Staff 28596 15669 9276 2544 1010 97 Students 33196 19717 10607 1909 938 25 1738 1482 206 45 1 4 Multiple 148681 62507 61036 19749 4575 814 Total 239334 114885 87080 27729 8589 1051 Friends 9 November 2013 @varnum | #litaforum Ken Varnum
    11. 11. Summary of All Use • Number of unique users • Unique users by role – Faculty – Student – Staff – Friend 9 November 2013 @varnum | #litaforum Ken Varnum
    12. 12. Items Saved per User n = 29375 9 November 2013 @varnum | #litaforum Ken Varnum
    13. 13. Items Saved per Faculty User n = 2421 9 November 2013 @varnum | #litaforum Ken Varnum
    14. 14. Items Saved per Student User n = 4193 9 November 2013 @varnum | #litaforum Ken Varnum
    15. 15. Items Saved per Staff User n = 2596 9 November 2013 @varnum | #litaforum Ken Varnum
    16. 16. Usage Compared to Campus Population U-M Population Favorite Users % of Population 7,500 1,726 23.0% Staff 36,500 2,596 7.1% Students 54,500 4,193 7.7% Faculty 9 November 2013 @varnum | #litaforum Ken Varnum
    17. 17. Usage by Campus Role Role Faculty % of Campus Population % of Favorites Usage 23.0% 30.5% Staff 7.1% 32.1% Students 7.7% 37.4% Campus population figures from http://obp.umich.edu/root/facts-figures/ 9 November 2013 @varnum | #litaforum Ken Varnum
    18. 18. 40 /60 Rule • 40 percent of users have 1 item • 60 percent have the rest Role % w/1 Favorite % w/2+ Favorites Faculty (n = 2421) 35% 65% Staff (n = 2596) 31% 69% Students (n = 4193) 32% 68% All * (n = 29375) 61% 39% * Includes users with multiple roles. 9 November 2013 @varnum | #litaforum Ken Varnum
    19. 19. Campus Role & Favorites Category Mirlyn Items Faculty ~23% Staff ~30% Students ~8% 9 November 2013 Articles Items Database Items Journal Items 30.5% 23.0% 43.9% 51.5% 30.8% 35.9% 32.1% 25.2% 38.7% 41.1% 24.1% 23.4% @varnum | #litaforum Ken Varnum
    20. 20. Course Tags • Students and Faculty have one-click add • 4888 items with course tags Items with Course Tags Items Total % CourseTagged Items Faculty 337 2421 13.9% Staff 563 2596 21.7% Student 1428 4193 34.1% Multiple 2560 20165 12.7% All 4888 29375 16.6% Role(s) 9 November 2013 @varnum | #litaforum Ken Varnum
    21. 21. Students’ Use of Course Tags Items w/Course Tags % of Items w/Course Tags Category % of CourseTagged Items Total Items Saved by Students Mirlyn 604 3.1% 45.8% 19717 ArticlesPlus 687 6.5% 52.1% 10607 6 0.3% 0.5% 1909 21 2.2% 1.6% 938 1318 4.0% 100.0% 33171 Databases Journals Total 9 November 2013 @varnum | #litaforum Ken Varnum
    22. 22. Conclusions • Course tag use underwhelming – No obvious value to students – Plan to build functionality around course tags • Favorites use overall – Feels to slanted to one-and-done users – Data not sufficiently dense – Need to combine with broader use analysis 9 November 2013 @varnum | #litaforum Ken Varnum
    23. 23. Acknowledgements • Albert Bertram for data extraction • Justin Joque for data analysis advice 9 November 2013 @varnum | #litaforum Ken Varnum
    24. 24. Thanks Ken Varnum varnum@umich.edu 9 November 2013 @varnum | #litaforum Ken Varnum

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