Sheffield

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  • Sheffield

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

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