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

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Presentation on theme: "DDA & What we have learned Karen R. Harker, MLS, MPH Collection Assessment Librarian UNT Libraries."— Presentation transcript:

1 DDA & STEM @UNT What we have learned Karen R. Harker, MLS, MPH Collection Assessment Librarian UNT 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 W HY ? 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?

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

6 Selection Criteria

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

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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.

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

12 Fund NameBudgeted %Discovery % Physics Learning Technologies Communication Studies Biology Foreign Language, Other Business Merchandising & Hospitality Management Dance & Drama Docs & Legal Materials Journalism Native American Studies Public Administration Foreign Language, French Library & Information Sciences Philosophy Foreign Language, Spanish Linguistics & Technical Writing Criminal Justice Geography Speech & Hearing Anthropology Rehabilitation, Social Work, Addictions Radio TV Film Sociology & Gerontology College of Engineering Psychology Chemistry Political Science Interdisciplinary Economics Art Music Mathematics History English Education Discovery Collection vs. Print Book Budgets Fund NameBudgeted % Physics Learning Technologies Communication Studies Biology Foreign Language, Other Business Merchandising & Hospitality Management Dance & Drama Docs & Legal Materials Journalism Native American Studies Public Administration Foreign Language, French Library & Information Sciences Philosophy Foreign Language, Spanish Linguistics & Technical Writing Criminal Justice Geography Speech & Hearing Anthropology Rehabilitation, Social Work, Addictions Radio TV Film Sociology & Gerontology College of Engineering Psychology Chemistry Political Science Interdisciplinary Economics Art Music Mathematics History English Education Low to High These are over-represented. These are under-represented.

13 What did our patrons select?

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17 Greater Rate of STEM Purchases

18 % STEM

19 STEM Collection by DDA Physics Mathematics Engineering Chemistry Biology

20 Distributions of STEM by Subject

21 Fund NameBudgeted %DDA %Purchased % Physics Learning Technologies Communication Studies Biology Foreign Language, Other Business Merchandising & Hospitality Management Dance & Drama Docs & Legal Materials Journalism Native American Studies Public Administration Foreign Language, French Library & Information Sciences Philosophy Foreign Language, Spanish Linguistics & Technical Writing Criminal Justice Geography Speech & Hearing Anthropology Rehabilitation, Social Work, Addictions Radio TV Film Sociology & Gerontology College of Engineering Psychology Chemistry Political Science Interdisciplinary Economics Art Music Mathematics History English Education What was Purchased? Library Science Mathematics Physics Biology

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

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

24 Lower than Expected Selection Greater than Expected Selection Just Right! Journalism Foreign Language, French Foreign Language, Spanish Dance & Drama Foreign Language, Other Mathematics Political Science Economics Business History Geography Interdisciplinary Biology English Rehabilitation, Social Work, Addictions Criminal Justice Philosophy Public Administration Education Docs & Legal Materials Communication Studies Radio TV Film Native American Studies Physics Sociology & Gerontology Anthropology Linguistics & Technical Writing Psychology Learning Technologies Music Art Merchandising & Hospitality Management Chemistry Speech & Hearing College of Engineering Library & Information Sciences Purchases to Collections Ratio - Low to High Ratio of Purchases to Collection

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26 DDA Print DDA Had More Usage than Print… 2012 YTD

27 …and More Usage Than EBSCO, but… EBSCO 2012 YTD DDA

28 …DDA Had Much Fewer Titles Available

29 Multiple Usage Similar to EBSCO DDA EBSCO 2012 YTD

30 Usage of STEM: DDA vs. Print

31 Title # User Sessions Computer architecture : a quantitative approach / John L. Hennessy, David A. Patterson 39 HTML & CSS : design and build web sites / Jon Duckett.23 Human parasitology / Burton J. Bogitsh, Clint E. Carter, Thomas N. Oeltmann. 18 Municipal solid waste management : processing, energy recovery, global examples. 13 Physical properties of macromolecules / Laurence A. Belfiore.10 Drupal 7 bible / Ric Shreves, Brice Dunwoodie.9 Drupal : the guide to planning and building websites / Cindy McCourt. 8 Infrared and raman spectroscopy : principles and spectral interpretation. 7 Chromatography : concepts and contrasts / James M. Miller.7 Search engine optimization secrets / by Danny Dover.7 Most Used STEM Titles

32 1 “Usage” = 10 Page-Views Open 10 Minutes Download or Print Copy & Paste Rental Options

33 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

34 What if…? Scenarios Scenario Summary Current ModelOne RentalTwo RentalsThree RentalsFour RentalsFive Rentals Changing Cells: 1 Usage Only # Titles Owned 29300000 2 Usages Only226 0000 3 Usages Only152 000 4 Usages Only77 00 5 Usages Only45 0 >5 Usages127 1 Usage Only % of Purchase Price 100%10% 2 Usages Only100%110%20% 3 Usages Only100%110%120%30% 4 Usages Only100%110%120%130%40% 5 Usages Only100%110%120%130%140%50% >5 Usages100%110%120%130%140%150% Result Cells: Total Titles Owned920627401249172127 Total Costs$58,210.19$44,654.25$33,803.16$25,646.31$21,485.40$18,888.36

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38 So, what did we learn?

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

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

41 Adjust Purchase Model

42 Regularly Review Data

43 Questions  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. Harker karen.harker@unt.ed u 940-565-2688 BeingAndLibrarianship.blogspot.com karen.harker@unt.ed u BeingAndLibrarianship.blogspot.com Questions I haveFor questions you might have


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