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ILF 2010 - Managing eJournal Statistics

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~ Benjamin Heet

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ILF 2010 - Managing eJournal Statistics

  1. 1. Managing a Miasma of Statistics Benjamin Heet University of Notre Dame http://www.binary-finary.com/wp-content/uploads/2010/01/Binary-Finary-1998-The-2010-Remixes.jpg
  2. 2.  What stats should we collect? How do we manage what we collect? How do we use and interpret the data? What are best practices going forward?
  3. 3. What should we collect? http://zforza.typepad.com/.a/6a00d8341d0eae53ef010535cdba6d970c-800wi Impact factor Eigenfactor SFXJR1 – Full Text Downloads http://www.photoschau.de/images/20091216212726_match_and_flame.jpg
  4. 4. Can we make questionable numbers more meaningful byadding other questionable numbers? http://www.buzzinn.net/img/fun/confused-animals-are-funny/confused-animals-are-funny15.jpg
  5. 5. What does it all mean? HTML vs PDF Outlier – Use Spikes
  6. 6. HTML vs PDF
  7. 7. OMG…Where did that come from???? Outlier / Use Spikes
  8. 8. Speedy Delivery? Not quite!
  9. 9. Keeping Busy  Download new stats each month for every provider  Merge new month onto prior report  Using Excel v-lookup functionWhy are we doing this?
  10. 10. Building a better mousetrap There must be a better way!
  11. 11. http://erm.library.nd.edu
  12. 12.  Upload statstics as .txt files System parses, verifies and imports data Log files of all activity
  13. 13.  Account logins stored in single location, easily accessible System does the work, takes significantly less time
  14. 14.  Manage statistics, option to delete problematic months System automatically flags outlier data / use spikes
  15. 15.  Separate reporting page Collection managers can run and obtain their own reports
  16. 16.  Report output, option to export to excel
  17. 17. Questions?Benjamin Heet, heet.2@nd.eduFind out more at http://erm.library.nd.edu http://questgarden.com/82/67/5/100302084057/images/faq_questionmark.jpg

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