[@OKau] "High value" datasets
paulywalsh at gmail.com
Tue Apr 14 07:00:15 UTC 2015
While working on OK’s Open Data Census, I recently came across this:
I love how they built Demand/Impact and Cost/Complexity right into their methodology for opening data. Doesn’t directly address your question, but perhaps of value nonetheless.
> On 14 Apr 2015, at 09:55, Rosie Williams <budgetaus at hotmail.com> wrote:
> Hi Cassie,
> I'd love to hear how people answer this question. I think some data sets are more easily opened and used and they might be considered higher value too. Data like GIS that is more standardised than some other types of data.
> Rosie Williams BA (Sociology)
> NoFibs.com.au <http://nofibs.com.au/> - Open Data Reporter
> InfoAus.net <http://infoaus.net/> - Founder and Developer
> Date: Tue, 14 Apr 2015 16:30:20 +1000
> From: findlay.cassie at gmail.com
> To: okfn-au at lists.okfn.org
> Subject: [@OKau] "High value" datasets
> Hi all
> Has anyone come across good criteria or defined methods for identifying 'high value' datasets? If, for example, you are looking at a whole of government jurisdiction. I found some in this EU report <http://ec.europa.eu/isa/documents/publications/report-on-high-value-datasets-from-eu-institutions_en.pdf> but would like to gather some more.
> I realise that value is a highly subjective thing to assert (valuable for whom, why?) and really like Rosie's work on defining the problems first, in order to then work out where you might find datasets of value, but all that aside :) - are there examples out there of work to define high value stuff?
> Many thanks
> Cassie Findlay
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