Introducing the Data Quality Vocabulary (DQV)

Tracking #: 2079-3292

This paper is currently under review
Authors: 
Riccardo Albertoni
Antoine Isaac

Responsible editor: 
Eero Hyvonen

Submission type: 
Ontology Description
Abstract: 
The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality. DQV was developed by Data 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 the DQV.
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Under Review