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  • Keeping tabs on popularity of colleagues’ publications
  • Usage data as diagnostic tool for targeted collections: highly invested-in parts of collection not being used could drive arranging an exhibition to increase awareness
  • Scholars doing research on other scholars research and publications
  • Look at when items were used: what was checked out in last week, month, year, etc.
  • Link traversals and other link metrics could be sent to link’s sourcepublisher
Privacy
  • Opt-in option for users willing to share their usage data
  • Huddersfield University (England): more liberal approach to data exposure, including access to clustering (users who borrowed this also borrowed that) and usage by academic course and school
  • IP-based web stats inherently less risky than personal ID-based circulation data
  • Anonymization tools important
  • Clustering dangerous

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