[@OKau] "High value" datasets

Steven De Costa steven.decosta at linkdigital.com.au
Tue Apr 14 07:09:38 UTC 2015

If you go by a quality standard then high value might be measured in a
number of ways.

Frictionlessness could be a quality measure that removes some of the
subjectivity... Take a look here: http://data.okfn.org/roadmap

Gives you an idea of how any dataset can be made more valuable :)

*EXECUTIVE DIRECTOR*www.linkdigital.com.au

On 14 April 2015 at 16:30, Cassie Findlay <findlay.cassie at gmail.com> wrote:

> 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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