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ILF 2010 - Managing eJournal Statistics

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This document discusses managing library usage statistics and proposes best practices. It questions what statistics should be collected, how to manage the large amounts of data, and how to interpret it. Currently, statistics are managed manually in Excel which is time-consuming. The document proposes building a web-based system to automatically import, parse, and flag outlier statistics. This system would make the management of statistics less time-intensive and allow for easier reporting and interpretation of data.

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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
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?
What should we collect? http://zforza.typepad.com/.a/6a00d8341d0eae53ef010535cdba6d970c-800wi Impact factor Eigenfactor SFX JR1 Full Text Downloads http://www.photoschau.de/images/20091216212726_match_and_flame.jpg
Can we make questionable numbers more meaningful by adding other questionable numbers? http://www.buzzinn.net/img/fun/confused-animals-are-funny/confused-animals-are-funny15.jpg
What does it all mean? HTML vs PDF Outlier Use Spikes
HTML vs PDF
OMGWhere did that come from???? Outlier / Use Spikes
Speedy Delivery? Not quite!
Keeping Busy Download new stats each month for every provider Merge new month onto prior report Using Excel v-lookup function Why are we doing this?
Building a better mousetrap There must be a better way!
http://erm.library.nd.edu
Upload statstics as .txt files System parses, verifies and imports data Log files of all activity
Account logins stored in single location, easily accessible System does the work, takes significantly less time
Manage statistics, option to delete problematic months System automatically flags outlier data / use spikes
Separate reporting page Collection managers can run and obtain their own reports
Report output, option to export to excel
Questions? Benjamin Heet, heet.2@nd.edu Find out more at http://erm.library.nd.edu http://questgarden.com/82/67/5/100302084057/images/faq_questionmark.jpg

More Related Content

ILF 2010 - Managing eJournal Statistics

  • 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. 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. What should we collect? http://zforza.typepad.com/.a/6a00d8341d0eae53ef010535cdba6d970c-800wi Impact factor Eigenfactor SFX JR1 Full Text Downloads http://www.photoschau.de/images/20091216212726_match_and_flame.jpg
  • 4. Can we make questionable numbers more meaningful by adding other questionable numbers? http://www.buzzinn.net/img/fun/confused-animals-are-funny/confused-animals-are-funny15.jpg
  • 5. What does it all mean? HTML vs PDF Outlier Use Spikes
  • 7. OMGWhere did that come from???? Outlier / Use Spikes
  • 8. Speedy Delivery? Not quite!
  • 9. Keeping Busy Download new stats each month for every provider Merge new month onto prior report Using Excel v-lookup function Why are we doing this?
  • 10. Building a better mousetrap There must be a better way!
  • 12. Upload statstics as .txt files System parses, verifies and imports data Log files of all activity
  • 13. Account logins stored in single location, easily accessible System does the work, takes significantly less time
  • 14. Manage statistics, option to delete problematic months System automatically flags outlier data / use spikes
  • 15. Separate reporting page Collection managers can run and obtain their own reports
  • 16. Report output, option to export to excel
  • 17. Questions? Benjamin Heet, heet.2@nd.edu Find out more at http://erm.library.nd.edu http://questgarden.com/82/67/5/100302084057/images/faq_questionmark.jpg