Category Archives: Libraries

Not at ALA? No problem – harvesting alamw news from twitter…

robinna/ January 27, 2013/ Libraries, twitter/ 0 comments

For those of you who couldn’t make it to ala:you can see all of the tagged ala midwinter (#alamw13) tweets at this link https://twitter.com/search?q=alamw13&src=tyah ; you can also save it in your twitter searches so that you can see as many posts  ðŸ˜‰ Perhaps, even more useful, use the RSS feed for this hashtag http://search.twitter.com/search.atom?q=alamw13 to subscribe via your reader, which

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Survey on digital literacy, social media, ereaders, & more

robinna/ November 29, 2012/ Libraries/ 0 comments

I  realize this survey is for public libraries, but I know a few of you 😉 Please consider taking the survey.  http://www.surveymonkey.com/s/digitallearningcenter “More frequently, public libraries and community organizations are becoming the go-to place for digital literacy education. Users come searching for help to understand and use computer programs, printers and other hardware, the Internet (web browsing, e-mail, social media),

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On burning books – thoughts on books as sacred object vs. knowledge holders

robinna/ October 10, 2012/ Libraries/ 0 comments

I stumbled across an interesting post from a librarian who created a display for banned book week. Of course, this wasn’t just any old poster session about Banned Book Week — no, this one actually contained books that she had burned. Responding to some feedback about this particular display and her actions, Jessica blogged these thoughts: Personally? I love books.

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Linked data, Libraries – How, Why & MARC

robinna/ August 30, 2012/ Libraries, social media, semantic web, tutorials/ 0 comments

Two excellent presentations together, one focused on MARC/linked data; the second focuses on user experience but in terms of how linked data and the FRBR (Functional Requirements of Bibliographic Records) model could possibly impact that experience. The first (Philip E. Schreur, Stanford) focuses on bibliographic data and MARC.  Really great overview and explanation of linked data and its potential impact

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