Transcript
Big Brotherin the library
Dave Pattern, Library Systems ManagerUniversity of Huddersfield
d.c.pattern@hud.ac.uk
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, longtime 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
University ofHuddersfield
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
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-usageanalysis
Library Catalogueweb site
Keyword cloud
Keyword suggestions
Borrowing suggestions
Personalised suggestions
how is it done?
1) find out who’s borrowed the book
Alice
Brian
Cathy
Alice
Brian
Cathy
2) find all the other books they borrowed…
Alice
Brian
Cathy
3) find the common titles…
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
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/
top related