[@OKau] "High value" datasets

Steve Bennett stevage at gmail.com
Wed Apr 15 07:41:06 UTC 2015

On Tue, Apr 14, 2015 at 4:30 PM, Cassie Findlay <findlay.cassie at gmail.com>

> 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?

Other people have commented on other frameworks etc for assessing value,
but informally, I've found myself focusing on three criteria when pondering
priorities for government data release:

1. Uniqueness: to what extent are there no other sources of this
information? A council's collection of street information is valuable but
there's a lot of overlap with OpenStreetMap, for instance. But no one else
could have the garbage collection zone boundaries.
2. Maintenance. Datasets age pretty quickly, and a dataset that's more than
a year out of date seems to go downhill in value pretty fast.
3. Reusability: was the data being collected with a general purpose in
mind, or are there limitations due to the original purpose for which it was
collected (eg, lack of comprehensiveness, idiosyncratic groupings,
jurisdictional filtering...)

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