Introducing the Data Quality Vocabulary (DQV)

Tracking #: 2320-3533

Riccardo Albertoni
Antoine Isaac

Responsible editor: 
Eero Hyvonen

Submission type: 
Ontology Description
The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality. DQV was developed by the Data on the Web Best Practice (DWBP) working group of the World Wide Web Consortium (W3C) between 2013 and 2017. This paper aims at providing a deeper understanding of DQV. It introduces its key design principles, main components, and the main discussion points that have been raised in the process of designing it. The paper compares DQV with previous quality documentation vocabularies and demonstrates the early uptake of DQV by collecting tools, papers, projects that have exploited and extended DQV.
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