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Informing Collection Decisions with Massive Analysis Joelle Thomas, Reference, User Experience, & Media Technologies Librarian at University of Connecticut.

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Presentation on theme: "Informing Collection Decisions with Massive Analysis Joelle Thomas, Reference, User Experience, & Media Technologies Librarian at University of Connecticut."— Presentation transcript:

1 Informing Collection Decisions with Massive Analysis Joelle Thomas, Reference, User Experience, & Media Technologies Librarian at University of Connecticut and Arta Dobbs, Collection Management Librarian at University of Connecticut Health Center

2 Intro Concurrent Web of Science and Scopus subscriptions, with strong user bases Growing usage of Google Scholar Which meets our users’ needs the most cost-effectively?

3 Comparative Data Peer institutions Coverage (overlap analysis) Platform capabilities  Self-citation  10 test citations  Citation manager exports

4 ScopusWeb of Science Journals 34,27520,283 No ISSNs 1,1541,442 Unique Titles w/ ISSNs 17,4912,934 Unique Titles w/o ISSNs 1815 ScopusWeb of Science Total Records54 Million62 Million Journals 34,275 total 21,918 peer reviewed 18,711 all peer reviewed, active, de-duped Books36,00050,000* Conference Papers and Proceedings 5,781,120 conference papers ( ) coming from around 64,910 conference events. 6,500,000 records from in the Sciences, Social Sciences, and Humanities.** Trade Journal793 Patents24 million51.8 million* Publisher PartnersOver 5,0003,000 * We do not have access to this content with our current WoS subscription. Additional subscription fees required for access. **Some conference proceedings are indexed as journals and we have access; however, full access to all conference papers requires an additional subscription fee. Scopus and Web of Science Coverage

5 ScopusWeb of Science Iowa State UniversityNoYes Ohio State UniversityYes Purdue UniversityYes RutgersYes University of GeorgiaNoYes University of IowaYes University of Minnesota - Twin CitiesYes University of Missouri - ColumbiaYesNo Scopus and Web of Science Access at UConn Peer Institutions

6 Quantitative Data COUNTER reports EZproxy logs Link resolver logs Interlibrary Loan requests Library website clickthroughs

7

8 Analysis Feature and COUNTER Search Use for Scopus and Web of Science (calculated to estimate 2013 calendar year usage for WoS)

9 Interlibrary Loan Requests by Citation Source and Status: January 1 – December 31, 2012 and 2013

10 StatusScopus Web of Science Percent Difference Undergraduate Student 1, % Graduate Student % Inactive Undergraduate Student % Faculty % Inactive Graduate Student % Professional Staff % Special Payroll % Extended Student % Univ Affiliated Employee % Expired15 0% Active Non Degree ECE Student % Emeritus6 60% Staff4 1120% Active Undergraduate Student % Admitted Undergraduate Student 1 10% Active Non Degree Student 1 10% 2,846 1,881 Off-Campus Logins to Web of Science and Scopus by Status: January 1 – December 31, 2013

11 Qualitative Data Faculty and graduate student comments solicited by subject liaisons via Conflicting reports of departmental norms from faculty within same department Many reported being unaware UConn offered access to WoS and Scopus

12 Faculty and Graduate Student Self-Reported Use of Google Scholar, Scopus, and Web of Science 189 People from 22 Departments

13 The Financial Piece Calculated costs per search and costs per session Requested citation analysis feature usage data from Thomson Reuters and Elsevier Obtained price quotes for three-year renewals

14 Cost Per Search and Cost Per Session for Web of Science and Scopus for FY12, FY13, and FY14

15 Cost Per Search for Web of Science and Scopus Analysis Features for 2013

16 Staff Time Group members kept time logs Over 200 hours total Meeting accounted for 34 hours

17 Aftermath

18 Questions?


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