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Merge pull request #735 from w3c/agb-distribution-definition
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Change to dcat:Distribution definition and note
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Simon Cox committed Feb 6, 2019
2 parents 16554f7 + 9f654b2 commit 3db2f84
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14 changes: 7 additions & 7 deletions dcat/index.html
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</section> <!-- end class Dataset -->


<!-- class Distribution -->
<section id="Class:Distribution">
<h3>Class: Distribution</h3>
<p>The following properties are recommended for use on this class:
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<table class="definition">
<thead><tr><th>RDF class:</th><th><a href="http://www.w3.org/ns/dcat#Distribution">dcat:Distribution</a></th></tr></thead>
<tbody>
<tr><td class="prop">Definition:</td><td>A specific representation of a dataset. A dataset might be available in several different forms,
and these forms might comprise both different serializations or different schematic arrangements of the same data.
Examples of distributions include a CSV file, a netCDF file, a JSON document, or a data-cube</td></tr>
<tr><td class="prop">Definition:</td><td>A specific representation of a dataset. A dataset might be available in multiple serializations that may differ in various ways, including natural language, media-type or format, schematic organization, temporal and spatial resolution, level of detail or profiles (which might specify any or all of the above). </td></tr>
<tr><td class="prop">Usage note:</td><td>This represents a general availability of a dataset. It implies no information
about the actual access method of the data, i.e. whether by direct download, API, or through a Web page.
The use of <a href="#Property:distribution_downloadurl"><code>dcat:downloadURL</code></a> property indicates directly downloadable distributions.</td></tr>
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</table>

<div class="note">
<p> Examples of distributions include a CSV file, a netCDF file, a JSON document, or a data-cube, files made accessible according to different profiles, such as XML or JSON schemas or ShEx or SHACL expressions.</p>

<p>In some cases all distributions of a dataset will be fully informationally equivalent, in the sense that lossless transformations between the representations are possible. An example would be different serializations of an RDF graph using RDF/XML, Turtle, N3, JSON-LD. However, in other cases the distributions might have different levels of fidelity to the underlying data. For example, a graphical representation alongside a CSV file. The question of whether different representations can be understood to be distributions of the same dataset is use-case specific, so the judgement is the responsibility of the provider. </p>

<p>
The scope of <code>dcat:Distribution</code> here is narrower than in DCAT-2014 [[?VOCAB-DCAT-20140116]], where it also included APIs and feeds.
Data catalogues designed using DCAT-2014 therefore used instances of type <code>dcat:Distribution</code> to describe data distribution services.
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</p>
</div>

<p class="note">
The definition text of <code>dcat:Distribution</code> has been revised to clarify that distributions are primarily <i>representations</i> of datasets. As such, all distributions of a given dataset should be informationally equivalent.
</p>

<p class="issue" data-number="411">
The intention of the phrase "informationally equivalent" needs to be clarified, in particular as different serializations may have different expressivity.
</p>
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