We’re now accepting registrations for Mashed Library UK 2009: Mash Oop North!
Please see the event blog for further details.
Blimey — we’ve “sold out” already! Any bookings from 2:20pm onwards today will be placed on a waiting list.
For anyone who’s interested in how libraries and librarians are blogging about the swine flu outbreak, I’ve just added a dedicated RSS feed over on the HotStuff 2.0 blog: http://www.daveyp.com/hotstuff/?p=268
Despite a widespread network failure that seemed to affect quite a few universities, I finally managed to pick up all of the #cilip2 tweets from today’s event: http://www.daveyp.com/blog/stuff/cilip2.html
Whenever I get a spare half-an-hour, I’ll do some analysis of the tweets. If anyone want a tab separated version of the data, you can grab it from here.
A gorgeous sunny day, ideal for a walk in the wood…
…or for lazing around in the garden…
I’m guessing it’s safe to post this now, although I’m still expecting a phone call from lawyers representing OCLC and/or The Library Journal after “accidentally” stumbling on the news before it officially broke :-S
The LJ article (written by Marshall Breeding) isn’t live at the moment, but it the annoucement has appeared on the OCLC home pages:
Is your library looking a little tired and shabby? Are you patrons listless and lackadaisical? Are you in need of inspiration? Have you shifted your paradigms recently? Do you believe that ideas should come at regular 15 minute intervals and always be less than 140 characters long?
I should have thought of hooking the Library 2.0 Idea Generator into Twitter a long time ago 😀
We’ve been logging all keyword searches on our OPAC for nearly 3 years and now have details for over 3 million searches. Just in case the data is of any use to anyone, I’ve uploaded an aggregated XML version to our web server: http://library.hud.ac.uk/data/keyworddata/
As with the usage data, we’re putting it out there with no strings attached by using an Open Data Commons Licence.
The XML file contains a list of about 8,500 keywords. For each keyword, there’s a list of other terms that have been used with that keyword in multi-term searches. The readme file contains more information about the structure.