[open-linguistics] Inclusion of 'non-open' resources in the LLOD cloud diagram

Wed Sep 9 09:06:18 UTC 2015

Dear all,

I want to follow up on this very sympathetic question. If open datasets 
are crucial for reproducing and replicating experiments in research, 
then one way to ensure this state is to use a Share-Alike license 
(CC-SA). This means that reproducable and replicatable research is also 
shared alike as reproducable and replicatable research by all who uses 
the datasets.

If one follows this logic, then CC-SA is *not* a restrictive license in 
open science and I wonder where that collocation of restrictiveness 
comes from.

This seems to be a very sensitive topic in many areas, not only computer 
software and the different sciences. Suffice it to say that I don't want 
to be seen as an extremist in this point, but in a community minded view 
on open science, a share-alike license is very much inclusive. The only 
point it is more restrictive about is the ability for others to use the 
datasets in their closed end-products. Whether this should be seen as 
giving less back to the community and giving more cash to the creator is 
something I wish to leave outside a discussion. My point is solely on 
the collocation and thus connotation of restrictiveness of these licenses.

PS Share-Alike licenses are also known as Copyleft licenses.

Best regards
Kristian K

08.09.2015 21:57 Judith Eckle-Kohler kirjutas:
> Dear all,
>
> in research, open datasets are crucial for reproducing and replicating 
> experiments.
>
> As a researcher, I am interested in ways to easily identify open 
> research datasets, and for me this primarily means datasets published 
> under an open license.
>
> Therefore, the LLOD seemed to be a place where I could be sure to find 
> only datasets with open licenses.
>
> But I think it might be interesting to think about the inclusion of 
> closed datasets into the cloud (apparently some are already included) 
> and add a visual marker as proposed by John (for the more restrictive 
> CC licenses).
>
> We might end up in a discussion about license classification, though 
> (open vs restrictive vs closed etc).
>
>
> Best regards
> Judith
>
> -------------------------------------------------------------------------------------------- 
> Dr. Judith Eckle-Kohler Senior Researcher Ubiquitous Knowledge 
> Processing (UKP) Lab FB 20 / Computer Science Department Technische 
> Universität Darmstadt Hochschulstr. 10, D-64289 Darmstadt, Germany 
> phone [+49] (0)6151 16-5386, fax -5455, room S2/02/B113 
> eckle-kohler at ukp.informatik.tu-darmstadt.de www.ukp.tu-darmstadt.de 
> Web Research at TU Darmstadt (WeRC): www.werc.tu-darmstadt.de GRK 
> 1994: Adaptive Preparation of Information from Heterogeneous Sources 
> (AIPHES): www.aiphes.tu-darmstadt.de PhD program: Knowledge Discovery 
> in Scientific Literature (KDSL): www.kdsl.tu-darmstadt.de 
> -------------------------------------------------------------------------------------------- 
>
>
>
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