Commercial Serials Decision Support Systems

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    Commercial Serials Decision Support Systems - Presentation Transcript

    1. Commercial Serials Decision Support Databases By Robin Paynter
      • Journal Use Reports™
      • 360 COUNTER
    2. About the Survey…
      • Purpose
      • Methodology
      • Handout
      • Citations
    3. Why SDSDs?
      • Better understanding of user behavior
      • Justification for budgetary decisions
      • Required outcome data for administration, reaccreditation, etc
      • Sound budgetary management
      • Staff time and expertise
      • Reduce staff barriers in data usage
    4. Choosing SDSDs
      • Budget and staffing
        • Research 1 university -> small college
      • Type of analysis needed
      • Local considerations
        • Required to support journals for reasons other than cost/benefit ratio?
    5. Comparative Collection Holdings
          • Comparator institution holdings
          • Impact Factor journals
          • Core journal lists (ACRL EBSS Core Psychology List)
          • Call number/Subject holdings analysis
          • Journal Use Reports™
    6. Usage Statistics
      • Project Counter/SUSHI reports
      • Is title being used? Longitudinal data?
      • Serials cut projects
      • Cost/use – access via ILL or subscribing?
      • 360 COUNTER
    7. Vendor/Publisher Package Deals
      • How well does overall package meet needs
      • How much do specific titles get used
        • 360 COUNTER
    8. Resource Sharing - Consortia
        • * Few publishers supply this Project Counter Report currently *
        • Input Measure: Consortial Package Deal
        • Input Measure: Last copy
              • State of Illinois Science Journals
        • Outcome Measure: local v. consortial use
    9. Overlap / Gap Analysis
      • Overlap:
        • Titles in multiple packages 360 COUNTER
        • Bibliographic databases
      • Gap:
        • ILL request data
        • Turnaway data
    10. Current Issues
      • Publisher Project Counter Reports problems
      • Local serials holdings records
      • Integration of custom data sources
      • Programmable macros
      • No ‘one stop shopping’ for all analysis types
    11. Future Trends
      • SDSDs support more types of analysis
        • Ebook usage, Input & Output measures
      • End user friendliness
        • More ScholarlyStats dashboard display
      • Improved reporting tools
        • More customizable tables, charts, and graphs like 360Counter

    + Robin PaynterRobin Paynter, 10 months ago

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