As part of a workshop on Creative Commons, I'm doing a short presentation on Open Data and The Panton Principles this week to various members of our staff. I thought I'd share some of the resources I've consulted during my preparations. I'm using textmining of journal articles as a example so I'm including a few resources along those lines as well.
- The Panton Principles
- Why does Dryad use CC0?
- #sparc2012 a manifesto in absentia for Open Data
- Information mining from Springer full-text: I ask for freedom
- Textmining Update: Max Haussler's Questions to publishers: They have a duty to reply
- The CONTROL of knowledge: Ours or Elsevier's; It's High Noon for Universities
- Our Protocol for Text-mining: Preamble and "Institutionalism"; Elsevier and other publishers should take note
- Elsevier, Nature and Content-mining - yet another Digital Land Grab - wake up academia and fight. Or surrender for ever
- They. Just. Don't. Get. It...
- Computing availability of full text for reuse
- Talking Text Mining With Elsevier
- Elsevier responds to my text mining request
- Open Data Is Not Your New Bicycle
- Why we should publish our data under Creative Commons Zero (CC0)
- Can't I just say "data available for educational and research use"?
- Why should data be released under the CC0 waiver...
- Remembering Babel: Open Data Sharing & Integration
- The Conundrum of Sharing Research Data
- Extracting, Transforming and Archiving Scientific Data
- Why don't scientists share data?
- Who Shares? Who Doesn't? Factors Associated with Openly Archiving Raw Research Data
- Why don't scientists share data?
- Who Shares? Who Doesn't? Factors Associated with Openly Archiving Raw Research Data
- Data sharing: Empty archives
- Nature special issue on data sharing (September 2009)
- Science special issue on data sharing (February 2011)
Please feel free to suggest additional resources in the comments.
Update 2013.01.30: Some followup posts with more resources and presentations I've done here, here, here and here.
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