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<section id="abstract">
<p>This document provides a framework in which the quality of a
dataset can be described, whether by the dataset publisher or by a
broader community of users. It does not provide a formal, complete
definition of quality, rather, it sets out a consistent means by
which information can be provided such that a potential user of a
dataset can make his/her own judgment about its fitness for purpose.
</p>
</section>
<section id="sotd">
<p>This document presents the most mature version of the Data Quality Vocabulary that could be produced in the lifespan of the <a href="http://www.w3.org/2013/dwbp/">Data on the Web Best Practices Working Group</a>. At time of publication, its main components have remained stable for several months, even after receiving feedback and suggestions from the community. We expect however that further clarifications and extensions of this model may be carried out by future working groups, considering requirements from specific domains or applications.</p>
</section>
<section id="toc"></section>
<section >
<h2 id="intro">Introduction</h2>
<p>
The <a href="http://www.w3.org/TR/dwbp/">Data on the Web Best Practices</a> have pointed out
the relevance of <a href="http://www.w3.org/TR/dwbp/#quality">publishing
information about the quality of data published on the Web</a>.
Accordingly, the <a href="http://www.w3.org/2013/dwbp/">W3C Data on the Web Best Practices Working Group</a> has been chartered to create
a vocabulary for expressing data quality. The Data Quality Vocabulary
(DQV) presented in this document is foreseen as an extension to the DCAT
vocabulary [[vocab-dcat]] to cover the quality of the data, how frequently is it
updated, whether it accepts user corrections, persistence commitments
etc. When used by publishers, this vocabulary will foster trust in
the data amongst developers.
</p>
<p>This vocabulary does not seek to determine what
"quality" means. We believe that quality lies in the eye of
the beholder; that there is no objective, ideal definition of it.
Some datasets will be judged as low-quality resources by some data
consumers, while they will perfectly fit others' needs. In
accordance, we attach a lot of importance to allowing many actors to
assess the quality of datasets and publish their annotations,
certificates, opinions about a dataset. A dataset's publisher should
seek to publish metadata that helps data consumers determine whether
they can use the dataset to their benefit. However, publishers should
not be the only ones to have a say on the quality of data published
in an open environment like the Web. Certification agencies, data
aggregators, data consumers can make relevant quality assessments,
too.</p>
<p>We want to stimulate this by making it easier to publish,
exchange and consume quality metadata, for every step of a dataset's
lifecycle. This is why next to rather expected constructs like
quality measurements, the Data Quality Vocabulary puts an emphasis
on feedback, annotation, policies and certificates.</p>
<p>DQV draws inspiration from and is aligned with existing work on representing data quality, notably
the daQ ontology for representing information (especially metrics) on the quality
of linked open datasets [[DaQ]].
daQ is itself anchored in the RDF Data Cube framework
for publishing statistical data
[[Vocab-Data-Cube]].
Note that DQV elements can be applied not only to
express metadata on the quality of datasets; they can also be used to express
statements about the quality of that metadata itself. This is especially true when it
comes to representing the provenance of that metadata or its conformance with respect
to established metadata standards.</p>
<p> A list of DQV-related implementations including references to vocabulary extending DQV, tools serializing quality results in DQV, portals exposing data quality in DQV, and papers citing the DQV, is maintained at the <a href="https://www.w3.org/2013/dwbp/wiki/List_of_DQV_implementations"> DQV Implementation wiki page</a>. Please feel free to contact the editors if you have any implementation to report.</p>
</section>
<section id="namespaces">
<h2>Namespaces</h2>
<p>
The namespace for DQV is <code>http://www.w3.org/ns/dqv#</code>.
DQV, however, seeks to re-use elements from other vocabularies,
notably <a href="http://www.w3.org/ns/dcat#">DCAT</a>, following the
<a href="http://www.w3.org/TR/dwbp/#dataVocabularies">best
practices for data vocabularies</a> identified by the Data on the Web
Best Practices Working Group.
</p>
<p>The table below indicates the full list of namespaces and
prefixes used in this document.</p>
<table id="namespacesTable">
<thead>
<tr>
<th>Prefix</th>
<th>Namespace</th>
</tr>
</thead>
<tbody>
<tr>
<td>daq</td>
<td>http://purl.org/eis/vocab/daq#</td>
</tr>
<tr>
<td>dcat</td>
<td>http://www.w3.org/ns/dcat#</td>
</tr>
<tr>
<td>dcterms</td>
<td>http://purl.org/dc/terms/</td>
</tr>
<tr>
<td>dqv</td>
<td>http://www.w3.org/ns/dqv#</td>
</tr>
<tr>
<td>duv</td>
<td>http://www.w3.org/ns/duv#</td>
</tr>
<tr>
<td>oa</td>
<td>http://www.w3.org/ns/oa#</td>
</tr>
<tr>
<td>prov</td>
<td>http://www.w3.org/ns/prov#</td>
</tr>
<tr>
<td>sdmx-attribute</td>
<td>http://purl.org/linked-data/sdmx/2009/attribute#</td>
</tr>
<tr>
<td>skos</td>
<td>http://www.w3.org/2004/02/skos/core#</td>
</tr>
</tbody>
</table>
</section>
<section id="model">
<h2>Vocabulary Overview</h2>
<p>The following vocabulary is based on DCAT [[vocab-dcat]] that
it extends with a number of additional properties and classes
suitable for expressing the quality of a dataset.</p>
<p>
The quality of a given dataset or distribution is assessed via a
number of observed properties. For instance, one may consider a
dataset to be of high quality because it conforms to a specific
standard while for other use-cases the quality of the data will
depend on its level of interlinking with other datasets. To express
these properties an instance of a <a
href="http://www.w3.org/TR/vocab-dcat/#Class:_Dataset">dcat:Dataset</a>
or <a href="http://www.w3.org/TR/vocab-dcat/#Class:_Distribution">dcat:Distribution</a>
can be related to five different types of quality information represented by the following classes:
</p>
<ul>
<li><a href="#dqv:QualityAnnotation">dqv:QualityAnnotation</a>
represents feedback and quality certificates given about the
dataset or its distribution.</li>
<li><a href="http://purl.org/dc/terms/Standard">dcterms:Standard</a>
represents a standard the dataset or its distribution conforms to.</li>
<li><a href="#dqv:QualityPolicy">dqv:QualityPolicy</a>
represents a policy or agreement that is chiefly governed by data quality concerns.</li>
<li><a href="#dqv:QualityMeasurement">dqv:QualityMeasurement</a>
represents a metric value providing quantitative or qualitative
information about the dataset or distribution.</li>
<li><a href="http://www.w3.org/ns/prov#Entity">prov:Entity</a>
represents an entity involved in the provenance of the dataset or
distribution.</li>
</ul>
<p>
DQV defines quality measures as specific instances of Quality Measurements, adapting the daQ quality framework [[DaQ]], [[DaQ-RDFCUBE]]. It relies on quality dimensions and quality metrics. </p>
<ul>
<li>A Quality Dimension (<a href="#dqv:Dimension">dqv:Dimension</a>) is a quality-related characteristic of a dataset
relevant to the consumer (e.g., the availability of a dataset).</li>
<li>A Quality Metric (<a href="#dqv:Metric">dqv:Metric</a>) gives a procedure for measuring a data quality dimension, which is abstract, by observing a concrete quality indicator. There are usually multiple metrics per dimension; e.g., availability can be indicated by the accessibility of a SPARQL endpoint, or that of an RDF dump. The value of a metric can be numeric (e.g., for the metric “human-readable labeling of classes, properties and entities”, the percentage of entities having an <code>rdfs:label</code> or <code>rdfs:comment</code>) or boolean (e.g., whether or not a SPARQL endpoint is accessible).</li>
</ul>
<!--p>For example, a dimension could be "multilinguality" and two metrics could be "ratio of literals with language tags" and "number
of different language tags".</p-->
<p>Besides quality measurements, DQV considers certificates, standards, and quality policies, which can also be organized according to dimensions. Quality metadata containers (<a href="#dqv:QualityMetadata">dqv:QualityMetadata</a>) can group together different quality statements, so that their provenance can be tracked jointly.</p>
<figure>
<a href="DataQuality0.2.9.svg"> <img src="DataQuality0.2.9.svg" />
</a>
<figcaption>Data model showing the main relevant classes
and their relations.</figcaption>
</figure>
<p>
<em>
N.B.: "containment" refers to the inclusion of quality statements into "containers", which may or may not be treated as (RDF) graphs (see later <a href="#DocumentProvenanceQualityMetadata">example</a> and the usage note for the class <a href="#dqv:QualityMetadata">dqv:QualityMetadata</a>).
</em>
</p>
<p>
Quality information can be derived from other quality information. For example, a quality annotation can be derived from a standard or a quality measurement. Quality measurements can be derived from other measurements. Metrics can be derived from other metrics. A standard can be built on another standard or a (set of) metrics. DQV models such derivations through the property <a href="https://www.w3.org/TR/prov-o/#wasDerivedFrom">prov:wasDerivedFrom</a> as illustrated in the diagram below.
</p>
<figure>
<a href="wasDerivedFrom2.svg"> <img src="wasDerivedFrom2.svg" />
</a>
<figcaption>Using the property <a href="https://www.w3.org/TR/prov-o/#wasDerivedFrom">prov:wasDerivedFrom</a> to interrelate quality metrics and other quality statements.</figcaption>
</figure>
<div class="note">
<p>Subclassing between DQV and W3C's Provenance Ontology [[PROV-O]] has not been explicitly stated in this document, as PROV-O classes can be inferred by the use of PROV-O relations. This editorial choice is not meant to limit in any way the use of PROV-O with DQV. In fact, specific examples of PROV-O exploitation have been included to express the <a href="#expressQualityDerivation"> derivation between quality metrics, measurements and annotations</a>, and to document the <a href="#DocumentProvenanceQualityMetadata">provenance of quality metadata</a> and <a href="#DocumentProvSingleQM">single quality measurements</a>.</p>
</div>
</section>
<section id="VocabularySpecification">
<h2>Vocabulary specification</h2>
<div class="note">
<p>Some properties from third-party vocabularies like Dublin Core [[Dublin-Core]], RDF Data Cube [[Vocab-Data-Cube]] and Web Annotation [[WebAnnotation]] are included here in order to make the document more self-contained and better readable. The definitions of these properties are copied from their original specifications and the way these properties should be used in the context of Data Quality Vocabulary is explained in the DQV usage notes.</p>
</div>
<section id="dqv:QualityMeasurement">
<h3>Class: Quality Measurement</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:QualityMeasurement">dqv:QualityMeasurement</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents the evaluation of a given
dataset (or dataset distribution) against a specific quality
metric.</td>
</tr>
<tr>
<td class="prop">Subclass of:</td>
<td><a href="http://purl.org/linked-data/cube#Observation">qb:Observation</a></td>
</tr>
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#Observation">daq:Observation</a></td>
</tr>
<tr><td class="prop">DQV usage note:</td><td>The unit of measure in quality measurement should be specified through the property <a href="http://purl.org/linked-data/sdmx/2009/attribute#unitMeasure">sdmx-attribute:unitMeasure</a> as recommended by RDF Data Cube [[Vocab-Data-Cube]].
The <a href="http://www.wurvoc.org/vocabularies/om-1.8/">Ontology of units of Measure (OM)</a> [[RijgersbergEtAl]] provides a list of HTTP dereferenceable unit of measures, which can be exploited as values for <a href="http://purl.org/linked-data/sdmx/2009/attribute#unitMeasure">sdmx-attribute:unitMeasure</a>.</td></tr>
</tbody>
</table>
<p>The following properties can be used with instances of this class: <a
href="#dqv:isMeasurementOf">dqv:isMeasurementOf</a>, <a href="#qb:dataSet">qb:dataSet</a>, <a href="#dqv:computedOn">dqv:computedOn</a>, <a href="#dqv:value">dqv:value</a>.
</p>
<section id="dqv:isMeasurementOf">
<h4>Property: Is Measurement Of</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="#dqv:isMeasurementOf">dqv:isMeasurementOf</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Indicates the metric being observed.</td>
</tr>
<tr>
<td class="prop">Instance of:</td>
<td><a
href="http://purl.org/linked-data/cube#DimensionProperty">qb:DimensionProperty</a>
</td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="http://purl.org/linked-data/cube#Observation">qb:Observation</a></td>
</tr>
<tr>
<td class="prop">Range:</td>
<td><a href="#dqv:Metric">dqv:Metric</a></td>
</tr>
<!--tr><td class="prop">Minimum cardinality:</td><td>1</td></tr-->
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#metric">daq:metric</a></td>
</tr>
</tbody>
</table>
</section>
<section id="qb:dataSet">
<h4>Property: Data Set</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="http://purl.org/linked-data/cube#dataSet">qb:dataSet</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Indicates the data set of which this observation is a part.</td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="http://purl.org/linked-data/cube#Observation">qb:Observation</a></td>
</tr>
<tr>
<td class="prop">Range:</td>
<td><a href="http://purl.org/linked-data/cube#Observation">qb:DataSet</a></td>
</tr>
<tr>
<td class="prop">DQV usage note:</td>
<td>Indicates the dataset to which a quality measurement (which is an
RDF Data Cube observation) belongs. This is not the dataset whose quality
is being measured, which is indicated by <a href="#dqv:computedOn">dqv:computedOn</a>.</td>
</tr>
</tbody>
</table>
</section>
<section id="dqv:computedOn">
<h4>Property: Computed On</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="#dqv:computedOn">dqv:computedOn</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Refers to the resource (e.g., a dataset, a linkset, a
graph, a set of triples) on which the quality measurement is
performed. In the DQV context, this property is generally
expected to be used in statements in which objects are instances
of <a href="http://www.w3.org/TR/vocab-dcat/#class-dataset">dcat:Dataset</a>
or <a
href="http://www.w3.org/TR/vocab-dcat/#class-distribution">dcat:Distribution</a>.
</td>
</tr>
<tr>
<td class="prop">Instance of:</td>
<td><a
href="http://purl.org/linked-data/cube#DimensionProperty">qb:DimensionProperty</a>
</td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="#dqv:QualityMeasurement">dqv:QualityMeasurement</a></td>
</tr>
<tr><td class="prop">Range:</td><td><a href="http://www.w3.org/2000/01/rdf-schema#Resource">rdfs:Resource</a> (introduced for <a href="#Compatibility_with_RDF_Data_Cube">compatibility with RDF Data Cube</a>)</td></tr>
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#computedOn">daq:computedOn</a></td>
</tr>
<tr>
<td class="prop">Inverse property:</td>
<td><a href="#dqv:hasQualityMeasurement">dqv:hasQualityMeasurement</a></td>
</tr>
<!--tr><td class="prop">Minimum cardinality:</td><td>1</td></tr-->
<!--tr><td class="prop">Maximum cardinality:</td><td>1</td></tr-->
</tbody>
</table>
</section>
<section id="dqv:value">
<h4>Property: Value</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="#dqv:value">dqv:value</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Refers to values computed by metric.</td>
</tr>
<tr>
<td class="prop">Instance of:</td>
<td><a
href="http://purl.org/linked-data/cube#MeasureProperty">qb:MeasureProperty</a>,
<a href="http://www.w3.org/2002/07/owl#DatatypeProperty">owl:DatatypeProperty</a>
</td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="#dqv:QualityMeasurement">dqv:QualityMeasurement</a></td>
</tr>
<!--tr><td class="prop">Range:</td><td><a href="ttp://www.w3.org/2000/01/rdf-schema#Resource">rdfs:Resource</a></td></tr-->
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#value">daq:value</a></td>
</tr>
<!--tr><td class="prop">Minimum cardinality:</td><td>1</td></tr>
<tr><td class="prop">Maximum cardinality:</td><td>1</td></tr-->
</tbody>
</table>
</section>
</section>
<section id="dqv:Metric">
<h3>Class: Metric</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:Metric">dqv:Metric</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents a standard to measure a quality dimension. An observation
(instance of <a href="#dqv:QualityMeasurement">dqv:QualityMeasurement</a>) assigns a value in a given unit
to a Metric. <!--Specific metrics are defined as subclasses of this abstract class.-->
</td>
</tr>
<!--<tr><td class="prop">DQV usage note:</td><td>@@TODO@@</td></tr>-->
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#Metric">daq:Metric</a></td>
</tr>
</tbody>
</table>
<p>The following properties can be used with instances of this class: <a
href="#dqv:inDimension">dqv:inDimension</a>, <a href="#dqv:expectedDataType">dqv:expectedDataType</a>.
</p>
<section id="dqv:expectedDataType">
<h4>Property: Expected Data Type</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="#dqv:expectedDataType">dqv:expectedDataType</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents the expected data type for the metric's observed value (e.g., xsd:boolean, xsd:double etc...) </td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="#dqv:Metric">dqv:Metric</a></td>
</tr>
<tr>
<td class="prop">Range:</td>
<td> <a href="https://www.w3.org/TR/xmlschema11-1/#sec-anySimpleType">xsd:anySimpleType</a>
</td>
</tr>
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#expectedDataType">daq:expectedDataType</a></td>
</tr>
</tbody>
</table>
</section>
</section>
<section id="dqv:Dimension">
<h3>Class: Dimension</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:Dimension">dqv:Dimension</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents criteria relevant for assessing quality. Each
quality dimension must have one or more metric to measure it.
A dimension is linked with a category using the <a
href="#dqv:inCategory">dqv:inCategory</a>
property.
</td>
</tr>
<tr>
<td class="prop">Subclass of:</td>
<td><a href="https://www.w3.org/TR/skos-reference/#concepts">skos:Concept</a></td>
</tr>
<!--<tr><td class="prop">Usage note:</td><td>@@TODO@@</td></tr>-->
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#Dimension">daq:Dimension</a></td>
</tr>
</tbody>
</table>
<p>The following property can be used with instances of this class: <a
href="#dqv:inCategory">dqv:inCategory</a>. SKOS properties that can be used with instances of SKOS Concepts [[SKOS-reference]] can also be used with instances of this class.
The appendix <a href="#DimensionsOfISOIEC25012">"Quality dimensions defined in ISO/IEC 25012"</a> and <a href="#DimensionsofZaveri">"Quality dimensions defined for Linked Data"</a> show examples of uses of this class.</p>
<section id="dqv:inCategory">
<h4>Property: In Category</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="#dqv:inCategory">dqv:inCategory</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents the category a dimension is grouped in.</td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="#dqv:Dimension">dqv:Dimension</a></td>
</tr>
<tr>
<td class="prop">Range:</td>
<td><a href="#dqv:Category">dqv:Category</a></td>
</tr>
<tr>
<td class="prop">Inverse:</td>
<td><a href="http://purl.org/eis/vocab/daq#hasDimension">daq:hasDimension</a></td>
</tr>
<!--tr><td class="prop">Minimum cardinality:</td><td></td></tr>
<tr><td class="prop">Maximum cardinality:</td><td>1</td></tr-->
<tr>
<td class="prop">DQV usage note:</td>
<td>Categories are meant to systematically organize
dimensions. The Data Quality Vocabulary defines no specific
cardinality constraints for <a
href="#dqv:inCategory">dqv:inCategory</a>, since distinct
quality frameworks might have different perspectives over a
dimension. A dimension may therefore be associated to more than
one category. However, those who define new quality metrics
should try to avoid this as much as possible and assign only one
category to the dimensions they define.</td>
</tr>
</tbody>
</table>
</section>
</section>
<section id="dqv:Category">
<h3>Class: Category</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:Category">dqv:Category</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents a group of quality dimensions in which a
common type of information is used as quality indicator. <!--Categories are provided as subclasses of this abstract class, which is not intended for direct usage.-->
</td>
</tr>
<!--<tr><td class="prop">Usage note:</td><td>@@TODO@@</td></tr>-->
<tr>
<td class="prop">Subclass of:</td>
<td><a href="https://www.w3.org/TR/skos-reference/#concepts">skos:Concept</a></td>
</tr>
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#Category">daq:Category</a></td>
</tr>
</tbody>
</table>
<p>SKOS properties that can be used with instances of SKOS Concepts [[SKOS-reference]] can also be used with instances of this class.
The appendix <a href="#DimensionsOfISOIEC25012">"Quality dimensions defined in ISO/IEC 25012"</a> and <a href="#DimensionsofZaveri">"Quality dimensions defined for Linked Data"</a> show examples of uses of this class.</p>
</section>
<div class="note">
<p>
Dimension and category are abstract entities. We represent instances dqv:Dimension and dqv:Category as instances of <code>skos:Concept</code>, which we think enable similar features as these for dimensions and categories in daQ. Our representation choice differs significantly for metrics, however. daQ uses RDFS/OWL classes and subclasses so as to represent constraints on measurements (e.g., on the type of values). RDFS/OWL does not allow one to fully capture all constraints. Additionally, other languages are being defined to represent constraints in more appropriate ways. We think it is therefore not appropriate now to recommend to treat specific metrics as subclasses of dqv:Metric, and we refer implementers to future progress on SHACL and related technology. See Appendix <a href="#Parameters">"Defining and using parameters for metrics"</a> for further discussion.
</p>
</div>
<section id="dqv:QualityMeasurementDataset">
<h3>Class: Quality Measurement Dataset</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:QualityMeasurementDataset">dqv:QualityMeasurementDataset</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents a dataset of quality measurements, evaluations of one or more datasets (or dataset distributions) against specific quality metrics.</td>
</tr>
<tr>
<td class="prop">Subclass of:</td>
<td><a
href="http://www.w3.org/TR/vocab-data-cube/#ref_qb_DataSet">qb:DataSet</a></td>
</tr>
<!--<tr><td class="prop">Usage note:</td><td>@@TODO@@</td></tr>-->
<tr>
<td class="prop">Equivalent to:</td>
<td><a href="http://purl.org/eis/vocab/daq#QualityGraph">daq:QualityGraph</a></td>
</tr>
</tbody>
</table>
<p>The following property can be used with instances of this class: <a href="#qb:structure">qb:structure</a>.
The appendix <a href="#Compatibility_with_RDF_Data_Cube">"Compatibility with RDF Data Cube"</a> shows an example of use of this class.</p>
<section id="qb:structure">
<h4>Property: Structure</h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="https://www.w3.org/TR/vocab-data-cube/#ref_qb_structure">qb:structure</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Indicates the structure to which this data set conforms.</td>
</tr>
<tr>
<td class="prop">Domain:</td>
<td><a href="https://www.w3.org/TR/vocab-data-cube/#ref_qb_DataSet">qb:DataSet</a></td>
</tr>
<tr>
<td class="prop">Range:</td>
<td> <a href="https://www.w3.org/TR/vocab-data-cube/#dfn-qb-datastructuredefinition">qb:DataStructureDefinition</a>
</td>
</tr>
<tr>
<td class="prop">DQV usage note:</td>
<td>In DQV, each dataset of quality measurements is an RDF Cube DataSet. This property can be used to indicate the RDF Data structure definition a dataset of quality measurements is expected to comply with.</td>
</tr>
</tbody>
</table>
</section>
</section>
<section id="dqv:QualityPolicy">
<h3>Class: Quality Policy</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:QualityPolicy">dqv:QualityPolicy</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents a policy or agreement that is chiefly governed by data quality concerns.</td>
</tr>
</tbody>
</table>
<p>The following properties can be used with instances of this class: <a href="#dqv:inDimension">dqv:inDimension</a>, <a href="#odrl:target">odrl:target</a>. The section <a href="#ExpressConformanceWithPolicy">"Express the conformance of a dataset with a quality policy"</a> shows examples of uses of this class.</p>
<section id="odrl:target">
<h4>Property: Target </h4>
<table class="definition">
<thead>
<tr>
<th>RDF Property:</th>
<th><a href="https://www.w3.org/ns/odrl/2/#term-target">odrl:target</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>The target property specifies the Asset upon which the Action is performed.
</td>
</tr>
<!--tr><td class="prop">Instance of:</td><td><a href="http://purl.org/linked-data/cube#DimensionProperty">qb:DimensionProperty</a> </td></tr-->
<tr>
<td class="prop">Domain:</td>
<td><a href="https://www.w3.org/ns/odrl/2/#term-Rule">odrl:Rule</a></td>
</tr>
<tr>
<td class="prop">Range:</td>
<td><a href="https://www.w3.org/ns/odrl/2/#term-Asset">odrl:Asset</a></td>
</tr>
<tr>
<td class="prop">DQV usage note:</td>
<td><p>This property is used to attach an instance of <a href="#dqv:QualityPolicy">dqv:QualityPolicy</a> to a dataset, a linkset, a graph, a set of triples, etc. In the DQV context, this property is generally expected to be used in statements in which objects are instances of <a
href="http://www.w3.org/TR/vocab-dcat/#class-dataset">dcat:Dataset</a> or <a
href="http://www.w3.org/TR/vocab-dcat/#class-distribution">dcat:Distribution</a>.</p></td>
</tr>
</tbody>
</table>
</section>
</section>
<section id="dqv:QualityAnnotation">
<h3>Class: Quality Annotation</h3>
<table class="definition">
<thead>
<tr>
<th>RDF Class:</th>
<th><a href="#dqv:QualityAnnotation">dqv:QualityAnnotation</a></th>
</tr>
</thead>
<tbody>
<tr>
<td class="prop">Definition:</td>
<td>Represents quality annotations, including ratings, quality
certificates or feedback that can be associated to datasets or
distributions. Quality annotations must have one <a href="https://www.w3.org/TR/2016/CR-annotation-vocab-20160705/#motivatedby">oa:motivatedBy</a>
statement with an instance of <a href="https://www.w3.org/TR/2016/CR-annotation-vocab-20160705/#motivation">oa:Motivation</a> (and <a href="https://www.w3.org/2009/08/skos-reference/skos.html#Concept">skos:Concept</a>) that reflects a quality assessment purpose. We define this
instance as <a href="#dqv:qualityAssessment">dqv:qualityAssessment</a>.</td>
</tr>