Slicing and Dicing: consortial Paperstats at SCELC

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  • Counter and SUSHI are partial solutions; you need a tool to tie it all together


  • 1. PaperStats from Pubget:A Consortial Usage Stats Service
    Rick Burke, SCELC
    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
    Cambridge Univ Press
    Elsevier ScienceDirect
    Nature Publishing Group
    Palgrave Macmillan
    Springer (Metapress)
  • 12. Forthcoming Coverage(By September 2011)
    Atypon Link
    Highwire Press
    H.W. Wilson (now EBSCO)
    OCLC FirstSearch
    Oxford Univ Press
    Project Muse
    SAGE Publications
    Univ of Chicago Press
  • 13. Slicing and Dicing…ACS
  • 14. Automatic Harvesting
    for ALL members
    Single Consortia-level
  • 15. Breadth of package use
    • For whole consortium or individual members
    • 16. Full list & Supporting Raw reports
    downloadable from same screen
  • 17. Does this institution need the package?
    Or this one?
    What about
    this one?
  • 18. 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
  • 19. Contact Information
    Rick Burke
    Jason Price