[ckan-discuss] Topic list (vocabulary/valuelist) for classifying datasets .

[Pablo Mendes]

Hi Edo,
I might have jumped on the wrong conversation here. I thought that the
issue was choosing topics to classify datasets on CKAN. Since CKAN is not
government specific, IPTC seems a rather good fit. I'm keeping in mind, for
example, TheDataHub.org that has data such as MusicBrains (with music
data), ChefMoz (food related) or even DBpedia that contains data about all
kinds of things, including fashion and leisure.

But I understand now that you're looking for topics for your specific CKAN
instance.

Cheers,
Pablo

On Wed, Jun 20, 2012 at 10:40 AM, Plantinga, Edo <
Edo.Plantinga at koop.wmrijk.nl> wrote:

> Hi all,
>
> @Pablo: Looking at the IPTC Media Topics, I see some topics that seem
> quite suitable (Environment, Politics, etc), but also some that are not
> a logical choice for the government open data domain (Human interest,
> Lifestyle and leisure, Animation, Fashion, etc.). Furthermore, I do not
> think that this topic list is used extensively within governments, as
> the intended domain for the list is journalism, which is not a
> responsibility of the government (at least not in most countries ;-) ).
> This does not help the reuse of dataset records tagged with such topics,
> as a translation to a gov domain topic list will be necessary if you
> want to reuse it. So for me it is not so much a matter of trusting
> Eurovoc or IPTC more, but it is more a matter of the best fit &
> reusability for the open data domain.
>
> Looking at the discussion so far, I believe Eurovoc still seems to be
> the best candidate. I have already done a short analysis of the fit
> between Eurovoc and the current datasets in our database and it seems OK
> (again, not exactly perfect, but that's not what I am expecting). I'll
> look into it using a larger sample and let you know. This may take me a
> while to complete as we are currently redesiging our data portal. In the
> meantime, I'd be very interested to hear from others who have tackled
> this problem.
>
> Best regards,
>
> Edo Plantinga
> Data.overheid.nl
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