[open-science] Big and open data – who should bear data transfer costs?

[P Kishor]

Not really accurate because your summary makes it sound that Puneet and
Peter disagree. Actually, Puneet and Peter agree that reasonable cost of
reproduction (call it dissemination) does not take away from the openness
of the dataset. Data are open because their legal status says so (you can
also call it free as in libre sense). Data are free in that the cost of
producing them has been paid elsewhere (perhaps via your tax-supported
grant). If the cost of disseminating them has also been paid elsewhere then
don't charge again (no double-dipping). If the cost of disseminating your
data has not been paid elsewhere, it is ok to recover that cost (no reason
why you should be burdened with that cost).




On Sat, May 17, 2014 at 11:14 AM, Lukasz Bolikowski <l.bolikowski at icm.edu.pl
> wrote:

> On 05/17/2014 06:26 PM, P Kishor wrote:
> > [...]
>
> Thanks for the clear and elaborate answer, all of what you wrote makes
> perfect sense.  Let me try to sum up the thread.
>
> The context is: while preparing for a lecture, I listed some interesting
> data sets available on AWS.  Since downloads are not free-of-charge, I
> hesitated whether to use the word "open" on the slides.
>
> Puneet says that in order to determine whether a given data set is open,
> one has to examine only the license on which the rights owner originally
> published the data set.  What happens with the data set afterwards is
> irrelevant.
>
> Peter says that in order to earn the "open" label, a data set should
> additionally be made available at a reasonable reproduction cost. Ideally,
> it should be possible to access the data set free-of-charge.
>
> Others' opinions were somewhere between the two.
>
> Is that accurate? (Terribly sorry if I misrepresented anyone's position.)
>
>
> Best regards,
> Lukasz
>
>
> --
> Dr. Łukasz Bolikowski, Assistant Professor
> Centre for Open Science, ICM, University of Warsaw
> Contact details: http://www.icm.edu.pl/~bolo/
>



-- 
Puneet Kishor
Manager, Science and Data Policy
Creative Commons
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