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DDA & STEM @UNT

DDA & STEM @UNT. What we have learned. Karen R. Harker, MLS, MPH Collection Assessment Librarian UNT Libraries. Key Players.

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DDA & STEM @UNT

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  1. DDA & STEM @UNT What we have learned Karen R. Harker, MLS, MPHCollection Assessment LibrarianUNT Libraries

  2. Key Players The UNT Libraries have made a concerted effort towards building a useful collection of electronic resources. As of this year, we have successfully “converted” 98% of all journal subscriptions to online only. Now, we are looking at monographs. Baker & Taylor is our primary print vendor, and their Patron-Driven or Demand-Driven Acquisitions program is the result of a collaboration with ebrary, a major electronic book provider.

  3. Why? This is an important question. Why go down this path? Why set aside precious funding for collections to “experiment”? Why should we cross this road? Well the simple answer is…to see what’s on the other side. How would Demand-Driven Acquisitions work for UNT?

  4. DDA vs. Print DDA vs. Other Ebooks

  5. Selected a DDA plan • Created an approval plan • Uploaded the MARC records • Discovery Collection

  6. Selection Criteria Page Views Minutes DownloadCopy or Print

  7. Based on approval plan for print monographs. Capped the cost of any item at $100. Approval Plan This became our Discovery Collection. Discovery Collection Upload MARC Records Note that there is no indication to the user that any particular title is not owned by the UNT Libraries.

  8. Wait & See

  9. Weekly Updates • MARC records in two files: • the non-purchased titles (Discovery Collection) • and the purchased titles (DDA collection). • Spreadsheet of purchased titles. • All data from files - exported into Access database • Track purchases by fund, by week, and by publisher.

  10. Discovery Collection

  11. STEM in the Print Collection Due to $100 cap?

  12. Discovery Collection vs. Print Book Budgets These are over-represented. Low to High These are under-represented.

  13. What did our patrons select?

  14. Greater Rate of STEM Purchases

  15. % STEM

  16. STEM Collection by DDA Physics Mathematics Engineering Chemistry Biology

  17. Distributions of STEM by Subject

  18. What was Purchased? Library Science Mathematics Physics Biology

  19. So how can you take the different distributions into consideration when comparing groups? RR Ratio of Purchases to Collection Diseased % Exposed % Well, in public health, there is a statistic called relative riskthat weights the rate of those with a disease by the rate of those exposed. Thus, the risk is relative to the exposure.

  20. We can do the same thing here by weighting the percentage purchased (diseased) with its distribution in the Discovery Collection. RR Ratio of Purchases to Collection Purchased % DDA % Thus, the risk of a title in a particular subject being purchased is relative to the distribution of that subject in the collection.

  21. Lower than Expected Selection Ratio of Purchases to Collection Just Right! Purchases to Collections Ratio - Low to High Greater than Expected Selection

  22. DDA Usage

  23. DDA Had More Usage than Print… DDA Print 2012 YTD

  24. …and More Usage Than EBSCO, but… EBSCO DDA 2012 YTD

  25. …DDA Had Much Fewer Titles Available

  26. Multiple Usage Similar to EBSCO DDA EBSCO 2012 YTD

  27. Usage of STEM: DDA vs. Print

  28. Most Used STEM Titles

  29. Rental Options 1 “Usage” = 10 Page-Views Open 10 Minutes Download or Print Copy & Paste

  30. But which model would be the most effective use of funds? • Used Excel’s Scenario Analysis • Set up different “scenarios” • certain variables were changed • outcomes were calculations based on these different values • Set up 6 scenarios: • the current simple purchase model • rental models from 1 to 5 rentals. • Variables changed for each scenario: • the number of titles owned • the % of the purchase price • NOTE: % of purchase price includes the rental costs • Outcomes • Total number of titles owned • Total costs

  31. What if…? Scenarios

  32. So, what did we learn?

  33. DDA Shows Promise The titles are being used quite similarly to print and other ebook collections.

  34. Align Approval Plan With Needs and Usage Image from Tony Armstrong (Flickr: midlander1231)

  35. Adjust Purchase Model

  36. Regularly Review Data

  37. Questions Questions I have For questions you might have • Compare with print & other ebook providers: • Publisher • BISAC Categories • Compare patrons’ selections with librarians’ selections • Long-term usage trends • Can this model be win-win for both publishers and libraries? • Karen R. Harkerkaren.harker@unt.edu940-565-2688BeingAndLibrarianship.blogspot.com

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