ISSUE 190

Concerning  issue https://www.w3.org/2013/dwbp/track/issues/190

 I would not restrict DQV to consider  only quality of the intrinsic
dimensions  of data because  we have  already included extrinsic examples
that are  fully in scope of DQV. For example:

- we have considered  the accessibility of a dataset as quality dimension
which is an extrinsic property of  data;
- we have  modelled  the conformity of a dataset's  metadata  to a certain
standard / profile ( see example 5.8 - Express the conformance of a
dataset's metadata with a standard [1]) ;

I personally think that by modelling  user annotations, conformity to
standards,   the quality policies, and  metrics for quality dimensions
mentioned in ISO and  zaveri [2], as we have  already agreed  on,  we are
done.

Zaveri et al.  have already  revised a set of relevant dimensions that
ranges from intrinsic to extrinsic and including all the dimensions are
worth to be included.
In theory, also the quality of the schema/ ontologies on which a  dataset
relies can be encoded in terms of metrics associated to the dataset.  (For
example,  in zaveri the ontology hijacking is included as a measure of
consistency ).
Besides,  the DQV is open to be  extended with further user defined
dimensions, if that is really  necessary.

I guess we can discuss in today call if  there  are any aspects  dear to
the group members that  I am overlooking..

Cheers,
Riccardo


[1]http://w3c.github.io/dwbp/vocab-dqg.html#ExpressConformanceWithStandard
[2] http://www.semantic-web-journal.net/system/files/swj773.pdf


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Riccardo Albertoni
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