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Assessing Return on Investment for E-Resources: A Cross-Institutional Analysis

This presentation discusses the use of cost-per-use data to assess the return on investment for e-resources in libraries. It examines the challenges and limitations of the approach and explores how to use the findings effectively. The speaker also raises questions about the future direction of ROI assessment for e-resources.

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Assessing Return on Investment for E-Resources: A Cross-Institutional Analysis

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  1. Assessing Return on Investment for E-Resources: A Cross-Institutional Analysis of Cost-Per-Use Data Patrick L. Carr ALCTS CRS C&RL IG Midwinter Meeting San Diego. January 9, 2011

  2. “Print was simpler.”

  3. Indeed:This has been replaced by… From Appendix B of the 2004 report of the Digital Library Federation’s Electronic Resources Management Initiative.

  4. Indeed:This Has been replaced by… From Appendix B of the 2004 report of the Digital Library Federation’s Electronic Resources Management Initiative.

  5. Indeed:This Has been replaced by… “Print was simpler.” From Appendix B of the 2004 report of the Digital Library Federation’s Electronic Resources Management Initiative.

  6. Indeed:This Has been replaced by… “Print was simpler.” Not when it comes to use-based evaluations. From Appendix B of the 2004 report of the Digital Library Federation’s Electronic Resources Management Initiative.

  7. Thomas E. Nisonger, Management of Serials in Libraries (Englewood, Colorado: Libraries Unlimited, 1998): 160-65.

  8. We have far superior tools to assess use of e-resources. Thomas E. Nisonger, Management of Serials in Libraries (Englewood, Colorado: Libraries Unlimited, 1998): 160-65.

  9. Cost-Per-Use:Annual Subscription Cost÷Annual Use

  10. Cost-Per-Use:A powerful tool for assessing return on investment.

  11. Cost-Per-Use:A powerful tool for assessing return on investment.But are we using CPU data to its fullest potential?

  12. Chuck Hamaker’s idea: A cross-institutional analysis of CPU data &

  13. Caveat: The coverage ranges for cost and use data didn’t always overlap completely.

  14. Caveat: Institution-by-institution access sometimes differed for resources. Caveat: The coverage ranges for cost and use data didn’t always overlap completely.

  15. Caveat: Not all sources of use data were COUNTER compliant. Caveat: Institution-by-institution access sometimes differed for resources. Caveat: The coverage ranges for cost and use data didn’t always overlap completely.

  16. Caveat: Not all sources of use data were COUNTER compliant. We can’t really use this study’s results to make sweeping conclusions. Caveat: Institution-by-institution access sometimes differed for resources. Caveat: The coverage range for cost and use data didn’t always overlap completely.

  17. Publisher Journal Packages

  18. Full-Text Aggregators

  19. Journal Site Licenses

  20. Indexing & Abstracting Databases

  21. Three Questions

  22. What does a cross-institutional CPU analysis actually tell us? Three Questions

  23. What does a cross-institutional CPU analysis actually tell us? • How can we use what it tells us? Three Questions

  24. What does a cross-institutional CPU analysis actually tell us? • How can we use what it tells us? • Where do we go from here? Three Questions

  25. Questions/Comments Patrick L. Carr Head of Electronic & Continuing Resource Acquisitions Joyner Library East Carolina University Greenville, North Carolina 27858 email: carrp@ecu.edu phone: 252-328-2266

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