Sheffield

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  • + adrian.stanley adrian.stanley 8 months ago
    Love the presentations Dave, I was at Huddersfield University a good few years back, now residing and working in the US for a publishing services company, excellent to see how the library has developed there in Huddersfield, I’m on a few publishing organization and annual meeting committees here, we’ll have to get you presenting in the US !!!
  • + daveyp daveyp 8 months ago
    Draft version of the presentation.
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Sheffield - Presentation Transcript

  1. Big Brother in the library Dave Pattern, Library Systems Manager University of Huddersfield [email_address]
  2. Preamble
    • Presentation available at:
      • www.slideshare.net/daveyp/
    • Please remix and reuse this presentation
      • creativecommons.org/licenses/by-nc-sa/3.0
  3. Contents
    • Supermarkets
    • Virtual footprints
    • Data collected at Huddersfield
    • Using data analysis to improve services
    • Sharing data
  4. A long, long time ago…
  5.  
  6. www.flickr.com/photos/hippie/2476662922/
  7. tinyurl.com/c8qm8h
  8. www.guardian.co.uk/money/2005/sep/27/ethicalmoney.lifeandhealth
  9. www.timesonline.co.uk/tol/news/uk/article1572626.ece
  10. www.flickr.com/photos/mikewarren/48237822/
  11. www.flickr.com/photos/jay-chilli/2178457837/
  12.  
  13. in a digital world, we leave virtual footprints wherever we go
  14.  
  15.  
  16.  
  17. University of Huddersfield
  18. Facts and figures
    • Student population
    • about 20,000 (full-time and part-time)
    • University Library
    • just under 400,000 physical items
    • over 700,000 loans per year
  19. User data collected by the library
    • Turnstile System
      • when you entered the library
    • Books
      • which items you borrowed and when
    • Computers
      • which PCs/Macs you used and for how long
      • which web sites you looked at
  20.  
  21. Anonymous data collected
    • Library Catalogue web site
      • keywords used for searches and the number of results found
      • which books were looked at
      • which features and tools were used
  22. What the data is used for
    • Library Catalogue web site
      • improving the search facility
      • analysing search trends
    • Turnstile System
      • find out how well the library is being used (e.g. weekends and holidays)
      • has the refurbishment of the library made any difference to the number of people using the library?
  23. What the data is used for
    • Books
      • which books do we need extra copies of?
      • which books can we get rid of?
      • which books are being borrowed by specific groups of students?
      • create borrowing suggestions for students in the Library Catalogue web site
  24. library non-usage analysis
  25.  
  26. Library Catalogue web site
  27. Keyword cloud
  28. Keyword suggestions
  29. Borrowing suggestions
  30. Personalised suggestions
  31. how is it done?
  32. 1) find out who’s borrowed the book Alice Brian Cathy
  33. 2) find all the other books they borrowed… Alice Brian Cathy
  34. 3) find the common titles… Alice Brian Cathy
    • people who borrowed
    • also borrowed
  35. so, was it worth it?
  36. Range of stock being borrowed
  37. Books per active borrower
  38. sharing usage data
  39. Usage data
    • Nov 2008: Released of aggregated and anonymised book usage data and book recommendation data ( link )
      • 2 million book loans and 80,000 book titles
    • Apr 2009: Aggregated keyword search data and linked keywords ( link )
      • 3 million searches on the library catalogue
    • Open Data Commons Licence
      • no restrictions on how the data can be used
  40.  
  41.  
  42.  
  43.  
  44. what next?
  45. What if…
    • …every library shared its usage data?
    • …could we use that data to improve the “student experience”?
    • can we encourage people to play with that data and create cool stuff?
  46. Thank you! www.slideshare.net/daveyp/ www.daveyp.com/blog/
SlideShare Zeitgeist 2009

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