Picking this up again as I've noticed two other posts that might be
relevant... In http://www.slideshare.net/paulwalk/metadata-aggregation-services
Paul Walk says 'a well supported API *might* be more open than a
completely freely available dump of gigabytes (or more) of data in the
sense that it might allow more open engagement for more people' and
follows 'we need a richer understanding of openness' - I think this
conversation is helping, in some small way. Nick Poole's post on
'Language Matters'
http://openculture.collectionstrustblogs.org.uk/2011/06/26/language-matters/
addresses some relevant issues.
To pick on some other points...
On 24 June 2011 13:27, Frankie Roberto <[log in to unmask]> wrote:
> The problem with "non-commercial" is that it's fairly vague, and rules out a
> lot of possible uses.
True, but is releasing data under an non-commercial licence better
than not releasing it at all? I guess, from the point-of-view of a
potential content provider, that might be the crux of the matter? I'd
love to hear thoughts on the '4 star' idea from people who have
content they might be able to publish in future.
Looking back to the Science Museum/NMSI data release, I know that that
could never have happened if we'd needed to check through all the
legal and organisational issues around a commercial licence.
> Lots of people advise that ShareAlike licences are far better than > NonCommercial licenses
Interesting, do you have a reference for this?
On 24 June 2011 14:01, Martin Bazley <[log in to unmask]> wrote:
> I do wonder how likely it is that a - at least slightly complicated, given discussion here - rating system will achieve the critical mass required to be effective.
I think that's my question too - does the '4 star' rating system
accidentally become a barrier to the publication of more re-usable
data?
An award is an interesting idea - would it just reward the most open,
or the most useful, or...?
I hope the gist of this conversation is clear enough for people who
don't thrive on acronyms - at a basic level, it's about the barriers
you face in publishing open data.
Cheers, Mia
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