From: Ivy Anderson <[log in to unmask]>
Date: Sun, 4 Nov 2012 19:30:05 +0000
In addition to the PRC report that Michael mentions, which provides a
very useful overview of industry developments (and is not overly
long), Richard Poynder wrote an excellent roundup of current issues in
text mining earlier this year:
"A New Declaration of Rights: Open Content Mining," Open and Shut?
(blog), June 8, 2012
http://poynder.blogspot.co.uk/2012/06/new-declaration-of-rights-open-content.html
And JISC has produced a very useful in-depth report for the UK context:
The Value and Benefits of Text Mining, JISC, Report Doc #811, March
2012 http://www.jisc.ac.uk/publications/reports/2012/value-and-benefits-of-text-mining.aspx
The following citations may also be of interest, in no particular
order (several of these are cited in Poynder's piece):
Sag, M., "Orphan Works as Grist for the Data Mill", SSRN, April 12,
2012. http://dx.doi.org/10.2139/ssrn.2038889
Howard, J, "Elsevier Experiments With Allowing 'Text Mining' of Its
Journals," Chronicle of Higher Education, May 6, 2012
http://chronicle.com/article/Hot-Type-Elsevier-Experiments/131789/
"The Right to Read Is the Right to Mine," Open Knowledge Foundation
Blog, June 1, 2012.
http://blog.okfn.org/2012/06/01/the-right-to-read-is-the-right-to-mine/
Van Noorden, R, "Trouble at the Text Mine," Nature News, March 8, 2012
http://www.nature.com/news/trouble-at-the-text-mine-1.10184
Jha, A, "Text mining: what do publishers have against this hi-tech
research tool?," The Guardian, May 23, 2012
http://www.guardian.co.uk/science/2012/may/23/text-mining-research-tool-forbidden
Peter Murray-Rust's blog, e.g.
http://blogs.ch.cam.ac.uk/pmr/2012/06/08/open-content-mining-richard-poynder-blogs-our-progress-so-far-and-i-summarise-my-current-impasse-with-publishers/
As mentioned earlier on Liblicense, the UC Santa Cruz Genocoding
project's progress in working with individual publishers is documented
at http://text.soe.ucsc.edu/progress.html
The Association of Research Libraries (ARL) Code of Best Practices in
Fair Use for Academic and Research Libraries, released in January
2012, addresses text mining in one of its sections (see Principle
Seven): http://www.arl.org/pp/ppcopyright/codefairuse/code/index.shtml
This topic was also treated in the recent Authors Guild v HathiTrust
decision, which held that the use of digitized texts for text mining
purposes was a fair use under US copyright law (a Google search will
turn up plenty of relevant citations)
The 2011 Hargreaves report on Digital Opportunity in the U.K.
advocates introducing an exception into British copyright law (which
lacks the fair use provisions of US law) to allow text and data
mining: http://www.ipo.gov.uk/ipreview-finalreport.pdf
Several open access publishers have posted their policies on text mining, e.g.
http://www.biomedcentral.com/about/datamining
http://www.springeropen.com/about/datamining/
http://blogs.plos.org/plos/2012/05/call-for-papers-plos-text-mining-collection/
Hope these are useful -
Ivy Anderson
California Digital Library
University of California
-----Original Message-----
From: LibLicense-L Discussion Forum
[mailto:[log in to unmask]] On Behalf Of LIBLICENSE
Sent: Sunday, November 04, 2012 7:22 AM
To: [log in to unmask]
Subject: Re: Suggested Readings in Text Mining?
From: Michael Mabe <[log in to unmask]>
Date: Fri, 2 Nov 2012 12:15:38 +0100
Ann:
The Publishing Research Consortium commissioned an overview of TDM
issues from Eefke Smit (STM Director of Technology). Here's the link:
http://www.publishingresearch.net/documents/PRCSmitJAMreport20June2011VersionofRecord.pdf
A shorter simplified report is also in production. Watch for its
appearance at the PRC website.
Best, Michael
Michael A Mabe
Chief Executive Officer
International Association of STM Publishers
Prins Willem Alexanderhof 5 Prama House, 267 Banbury Road
Hague, 2595BE, NL OXFORD, OX2 7HT, UK
E-mail: [log in to unmask]
Web: www.stm-assoc.org
-----Original Message-----
From: Ann Shumelda Okerson <[log in to unmask]>
Date: Thu, 1 Nov 2012 13:57:20 -0400
An inquiry for this list: I'm looking for recommendations about good
documents, articles, and presentations regarding Text Mining.
If you have suggestions, please forward them to this list (with
citation or URL), or to me directly: [log in to unmask]
Many thanks, Ann
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