1 / 36

Assessing ROI for E-Resources: A Cross-Institutional Analysis

This presentation discusses the use of Cost-Per-Use (CPU) data as a powerful tool for assessing the return on investment (ROI) of e-resources. It explores the limitations of CPU data and highlights the potential for cross-institutional analysis. The speaker also raises questions about the implications and future directions of such analysis.

rhouston
Télécharger la présentation

Assessing ROI for E-Resources: A Cross-Institutional Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Assessing Return on Investment for E-Resources: A Cross-Institutional Analysis of Cost-Per-Use Data Patrick L. Carr North Carolina Serials Conference Chapel Hill. March 10, 2011

  2. “Print was simpler.”

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 This has been replaced by… From Appendix B of the 2004 report of the Digital Library Federation’s Electronic Resources Management Initiative.

  4. This Has been replaced by… From Appendix B of the 2004 report of the Digital Library Federation’s Electronic Resources Management Initiative.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 Indeed:This Has been replaced by… “Print was simpler.”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 Indeed:This Has been replaced by… “Print was simpler.”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: Should always be considered in the context of qualitative measures of ROI.

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

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

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

  14. Caveat: Data is generally from 2009 (complete 2010 data wasn’t yet available)

  15. Caveat: Data is generally from 2009 (complete 2010 data wasn’t yet available) Caveat: The coverage ranges for cost and use data didn’t always overlap completely.

  16. Caveat: Data is generally from 2009 (complete 2010 data wasn’t yet available) Caveat: The coverage ranges for cost and use data didn’t always overlap completely. Caveat: Institution-by-institution access sometimes differed .

  17. Caveat: Not all sources of use data were COUNTER compliant. Caveat: Data is generally from 2009 (complete 2010 data wasn’t yet available) Caveat: The coverage ranges for cost and use data didn’t always overlap completely. Caveat: Institution-by-institution access sometimes differed.

  18. We can’t really use this study’s results to make sweeping conclusions. Caveat: Not all sources of use data were COUNTER compliant. Caveat: Data is generally from 2009 (complete 2010 data wasn’t yet available) Caveat: The coverage ranges for cost and use data didn’t always overlap completely. Caveat: Institution-by-institution access sometimes differed.

  19. Five Categories of Resources • Publisher journal packages • Commercial publishers • Society publishers • University presses • Full-text aggregators • Site licenses to journals • Indexing & abstracting databases • Other stuff

  20. Three Questions

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

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

  23. 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

  24. 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

More Related