Re: Help with Data Quality example

Hi Riccardo,

Thanks a lot for your feedback! In this case, for one dimension, we can use
different measures for different distributions/datasets. Is that right?

Then, the only information that could be general is the definition of the
dimensions. As we wont have a separate document to describe the dimensions,
I think we can keep the definitions together with the measures and values.

Doing this[1], the only change is the inclusion of the data quality
information as part of the CSV distribution rather than as a separate
section. Could you please take a look and tell me if this is ok?

Thanks!
Berna

[1] http://w3c.github.io/dwbp/dwbp-example.html



2016-05-04 12:58 GMT-03:00 Riccardo Albertoni <
riccardo.albertoni@ge.imati.cnr.it>:

> Dear BP Editors,
>
> Unfortunately, the values should be associated to Metrics not dimensions,
> as  you can have more than one metric for the same dimension,
>
>  I would  consider to change the Human readable example, as in the
> following
>
> a) In the section "Data Quality values", you can add the metric
> description, for example,
>
> -------------------------------------------------------------------------------------
> (Measured ??)  Dimension |   (Deployed ??)  Metric    |  value  |
>
> ----------------------------------------------------------------------------------
> Availability | dcat:downloadURL is available and if its value is
> dereferenceable| True (boolean)
> Completeness | Ratio between the number of objects represented in the cvs
> and the number of objects expected to be represented according to the
> declared dataset scope. |  0.5 (Double)
>
> b) in section "Quality Dimensions and Metrics", you can change the
>  section title in "Quality Dimensions", and  you can delete the metric
> column in the table. It should result in something like,
> -------------------------------
> Dimension |   Definition
> ---------------------------------
> Completeness | Refers to the degree to which all required information is
> present in a particular dataset.
> Availability | Availability of a dataset is the extent to which data (or
> some portion of it) is present, obtainable and ready for use.
>
>
> The above solution is perhaps less  appealing, but it is closer to the
> data quality vocabulary model.
> Does it work for you?
>
> Cheers,
> Riccardo
>
>
>
>
>
>
>
>
>
> On 4 May 2016 at 17:17, Bernadette Farias Lóscio <bfl@cin.ufpe.br> wrote:
>
>> Dear DQV editors,
>>
>> We are making the final updates on the DWBP document and we'd like to ask
>> your help with the human-readable version of the data quality metadata [1].
>>
>> We made some changes on the html page with the human-readable metadata
>> and we changed the way that the data quality metadata is presented. Now the
>> values of the data quality dimensions are part of the description of the
>> CSV distribution. Please, take a look and tell us if this makes sense.
>>
>> We also noticed that the description of dimensions and metrics is general
>> and maybe could be in another page rather than in the dataset page. Does it
>> make sense for you or do you think its better to keep these descriptions
>> together with the dataset description?
>>
>> Looking forward to your feedback!
>>
>> Thanks,
>> BP Editors
>>
>> [1] http://w3c.github.io/dwbp/dwbp-example.html
>>
>> --
>> Bernadette Farias Lóscio
>> Centro de Informática
>> Universidade Federal de Pernambuco - UFPE, Brazil
>>
>> ----------------------------------------------------------------------------
>>
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>
>
>
>
> --
>
> ----------------------------------------------------------------------------
> Riccardo Albertoni
> Istituto per la Matematica Applicata e Tecnologie Informatiche "Enrico
> Magenes"
> Consiglio Nazionale delle Ricerche
> via de Marini 6 - 16149 GENOVA - ITALIA
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>
> ----------------------------------------------------------------------------
>



-- 
Bernadette Farias Lóscio
Centro de Informática
Universidade Federal de Pernambuco - UFPE, Brazil
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