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Serials Decision Support Databases: Enhancing Library Budgeting and Collection Management

This article explores the benefits of Serials Decision Support Databases (SDSDs) in improving library budgeting and collection management. It discusses the factors to consider when choosing SDSDs, such as budget, staffing, and local considerations. It also highlights the importance of comparative collection holdings, vendor/package deals, and resource sharing in consortia. The article addresses the overlap and gap analysis, current issues faced, and future trends in SDSDs.

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Serials Decision Support Databases: Enhancing Library Budgeting and Collection Management

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  1. Commercial Serials Decision Support Databases By Robin Paynter

  2. Journal Use Reports™ • 360COUNTER

  3. About the Survey… • Purpose • Methodology • Handout • Citations

  4. 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

  5. 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?

  6. 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™

  7. Usage Statistics • Project Counter/SUSHI reports • Is title being used? Longitudinal data? • Serials cut projects • Cost/use – access via ILL or subscribing? • 360COUNTER

  8. Vendor/Publisher Package Deals • How well does overall package meet needs • How much do specific titles get used • 360COUNTER

  9. 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

  10. Overlap / Gap Analysis • Overlap: • Titles in multiple packages 360COUNTER • Bibliographic databases • Gap: • ILL request data • Turnaway data

  11. 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

  12. 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

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