1. PaperStats from Pubget: A Consortial Usage Stats Service Rick Burke, SCELC ALCTS New Orleans, LA June 25, 2011

2. What is SCELC The Statewide California Electronic Library Consortium We serve 111 private academic and nonprofit research libraries throughout the state, plus one in Nevada and three in Texas Our primary activity has been negotiating offers for electronic resources and related services for our member libraries We are an opt-in consortium, and we license over 2400 different products 80% of SCELC are schools <2000 FTE, so the small school market is key

3. Why Usage Stats? As a nonprofit entity, SCELC needs to provide valuable services to its members that go beyond the core “buying club” activity Given that the acquisition of e-resources is core to our mission, there was an evident need to help libraries track usage and analyze costs Existing tools were either too expensive or inadequate to meet the needs of many libraries

4. Why PaperStats? Pubget, as a discovery tool, started its services by automating full text article retrieval for end users Pubget extended its services to automate the serials management and stats analysis process for libraries This automated login process lends itself to retrieving usage stats quickly and efficiently Add to this an analysis tool that breaks down the retrieved statistics into meaningful data

5. SCELC and PaperStats SCELC worked with Pubget to build on their automated login technology to create a consortial portal The consortial version uses institutional identifiers and a single master password to retrieve statistics for every SCELC member Libraries can go to the portal to retrieve their statistics for the publishers currently covered by PaperStats SCELC can obtain a consortial view of usage

6. Without PaperStats Library staff have to gather statistics manually from many different publishers Each publisher has Different formats for data and delivery Different access methods Different availability dates Cost statistics need to be calculated separately Data needs to be cleaned up and aggregated manually This can be a labor-intensive and cumbersome process prone to data loss and errors

7. Automation PaperStats automates this process We provide SCELC and COUNTER R3 passwords Pubget interacts with the publishers’ admin data to retrieve the data Consortial version includes automated import of data from consortially-licensed resources Pubget returns usage reports to the librarian Access is fast and always available No need to aggregate data and send it elsewhere for reporting and analysis

8. Consortial Enhancements SCELC can track stats for each member Automated import of consortia stats Can retrieve data across a series of dates, e.g. a period of months Member logins are pre-populated The library can access all COUNTER compliant usage stats across their serials holdings The library can obtain a top level view of their most and least-viewed publishers and titles

9. Negotiate More Effectively With COUNTER-compliant costs-per-view in hand, negotiate with publishers to realize more realistic cost models Uncover previously hidden cost information Utilize consortium-wide data to negotiate optimal terms for the group as a whole Obtain a better understanding of our consortium members’ usage patterns and collection needs

10. SCELC Benefits Member-level statistics for e-journal packages are automatically collected Libraries pay a very modest fee to access usage data & analysis tools for their SCELC packages Libraries have the option to license PaperStats individually to add non-SCELC (locally-licensed) packages Consortia-wide data readily available to the whole group for analysis and reporting

11. Publishers Covered by SCELC PaperStats ACS Cambridge Univ Press EBSCOHost Elsevier ScienceDirect Emerald Gale Nature Publishing Group Palgrave Macmillan Springer (Metapress) Wiley

12. Forthcoming Coverage (By September 2011) Atypon Link BioOne Highwire Press H.W. Wilson (now EBSCO) JSTOR OCLC FirstSearch Oxford Univ Press Project Muse ProQuest SAGE Publications Univ of Chicago Press

13. Slicing and Dicing…ACS

14. Single Consortia-level password Automatic Harvesting for ALL members

15. Breadth of package use  For whole consortium or individual members  Full list & Supporting Raw reports downloadable from same screen

16. Does this institution need the package? What about this one? Or this one?

17. Cost analysis (coming soon at the consortial level) Can I save money by dropping journals? – Cost analysis: Highest cost per view journals Can I save money by adding journals? – Cost analysis: PPV vs Subscription Is this bundle saving me money? – Cost analysis: Bundle vs Journal

18. Contact Information Rick Burke rburke@scelc.org Jason Price jprice@scelc.org http://scelc.org