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  • 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 !!!
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Sheffield Sheffield Presentation Transcript

  • Big Brother in the library Dave Pattern, Library Systems Manager University of Huddersfield [email_address]
  • Preamble
    • Presentation available at:
      • www.slideshare.net/daveyp/
    • Please remix and reuse this presentation
      • creativecommons.org/licenses/by-nc-sa/3.0
  • Contents
    • Supermarkets
    • Virtual footprints
    • Data collected at Huddersfield
    • Using data analysis to improve services
    • Sharing data
  • A long, long time ago…
  •  
  • www.flickr.com/photos/hippie/2476662922/
  • tinyurl.com/c8qm8h
  • www.guardian.co.uk/money/2005/sep/27/ethicalmoney.lifeandhealth
  • www.timesonline.co.uk/tol/news/uk/article1572626.ece
  • www.flickr.com/photos/mikewarren/48237822/
  • www.flickr.com/photos/jay-chilli/2178457837/
  •  
  • in a digital world, we leave virtual footprints wherever we go
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  • University of Huddersfield
  • 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
  • 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
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  • 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
  • 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?
  • 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
  • library non-usage analysis
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  • Library Catalogue web site
  • Keyword cloud
  • Keyword suggestions
  • Borrowing suggestions
  • Personalised suggestions
  • how is it done?
  • 1) find out who’s borrowed the book Alice Brian Cathy
  • 2) find all the other books they borrowed… Alice Brian Cathy
  • 3) find the common titles… Alice Brian Cathy
    • people who borrowed
    • also borrowed
  • so, was it worth it?
  • Range of stock being borrowed
  • Books per active borrower
  • sharing usage data
  • 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
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  • what next?
  • 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?
  • Thank you! www.slideshare.net/daveyp/ www.daveyp.com/blog/