Thank you for clarifying that you consider this to be a potential breach of copyright. I argue that your problem reflects a risk-averse approach.
Can you please explain how you think a CC-BY-NC-ND license forbids copying to private computers for data processing purposes? I argue that the kind of data / text mining that you propose is simply an automated form of reading and does not involve creating a derivative work. One reason I assume you are not creating derivatives is because if you are, then the attribution requirement does apply to CC-BY material. If you are planning to use a public domain license you must not be creating derivatives. For the sake of clarity I understand we are talking about copying large quantities of material freely available on the Web to private computers for data analysis, with subsequent redistribution limited to copyright-free facts. best, Heather Morrison -------- Original message -------- From: Peter Murray-Rust <pm...@cam.ac.uk> Date: 2017-02-27 6:10 PM (GMT-05:00) To: "Global Open Access List (Successor of AmSci)" <goal@eprints.org> Subject: Re: [GOAL] [job] WikiFactMine: Open Access Wikimedian In Residence in Cambridge UK On Mon, Feb 27, 2017 at 5:58 PM, Heather Morrison <heather.morri...@uottawa.ca<mailto:heather.morri...@uottawa.ca>> wrote: Another point: we agree that facts are not copyrightable. Assuming we are correct in this assumption, there is no argument for limiting this work to material licensed CC-BY. This kind of work could be carried out with material under any kind of license including all rights reserved. The research involves **copying** the material (often > 100,000 separate items) to several sites including public repositories and Wikimedia computers. This is only possible in practice with an explicit permissive licence such as CC BY. It would be a potential breach of copyright to use material where explicit permission was not given on the document or metadata intimately semantically associated with it. -- Peter Murray-Rust Reader Emeritus in Molecular Informatics Unilever Centre, Dept. Of Chemistry University of Cambridge CB2 1EW, UK +44-1223-763069
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