As mentioned during the webinar, and also proposed by Difi (via email), we may include metadata for quality of data sets/elements.
The W3C Data Quality Vocabulary (DQV) is the clear candidate for this purpose. The main question is the case of use for this quality assesment of the data:
- Express that a dataset fits in a quality classification (see example)
- Provide quality assessment with quality metrics —e.g., completeness— (see example)
- Express the conformance of a dataset's metadata with a standard (see example)
- Provenance of datasets (along with the W3C Provenance Ontology)
DCAT-2 also includes some examples about quality.
This issue is related to [Issue #02] proposing the creation of the boolean property isAuthoritative.