[okfn-discuss] what are the arguments against open data

Bob Chen bchen at ciesin.columbia.edu
Wed Oct 9 13:19:43 UTC 2013


Again, I think the OECD Principles and Guidelines for Access to 
Research Data from Public Funding, available at 
http://www.oecd.org/sti/sci-tech/38500813.pdf, is a good start. The 
International Council for Science (ICSU) Committee on Data for Science 
and Technology (CODATA) has begun to think about how to build on these 
principles and expand their acceptance beyond the OECD countries to 
the broader scientific community.

Cheers, Bob

*****
Dr. Robert S. Chen
Director, Center for International Earth Science Information Network
  (CIESIN), The Earth Institute, Columbia University
Manager, NASA Socioeconomic Data and Applications Center (SEDAC)
P.O. Box 1000, 61 Route 9W, Palisades, NY 10964 USA
tel. +1 845-365-8952; fax +1 845-365-8922
e-mail: bchen at ciesin.columbia.edu
CIESIN web site: http://www.ciesin.columbia.edu
SEDAC web site: http://sedac.ciesin.columbia.edu


On Wed, 9 Oct 2013, Peter Murray-Rust wrote:

> Date: Wed, 9 Oct 2013 08:03:56 +0100
> From: Peter Murray-Rust <pm286 at cam.ac.uk>
> Reply-To: Open Knowledge Foundation discussion list
>     <okfn-discuss at lists.okfn.org>
> To: Open Knowledge Foundation discussion list <okfn-discuss at lists.okfn.org>
> Subject: Re: [okfn-discuss] what are the arguments against open data
> 
> This is been a very useful discussion - I am slightly surprised that no one
> has already created a set of principles of Open Data. Since this is a high
> profile list it's a good touchstone that this may not exist.
>
> In which case it seems critical that OKFN take this on board and come up
> with a protocol for Open Data. This would be very highly valued. It could
> be an extension of the Panton philosophy.
>
> I'd like to see some formal categorisation and exemplification. For example
> scientific research may impinge on sensitive scientific locations (nesting
> birds). Geo-mapping may impinge on indigenous rights, etc.
>
> We are also about to start extracting mass data from the scientific
> literature. There is also the question as to whether the integration of
> non-sensitive sources can reveal sensitive material - this is well accepted
> in medicine/patients.
>
> I imagine this would make a wonderful challenge for School Of Data and
> should be aprt of a modeul (if it isn't already).
>
> P.
>




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