Introducing the Data Quality Vocabulary (DQV)

Eero Hyvonen, Riccardo Albertoni*, Antoine Isaac

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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, 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.

Original languageEnglish
Pages (from-to)81-97
Number of pages17
JournalSemantic Web
Volume12
Issue number1
Early online date19 Nov 2020
DOIs
Publication statusPublished - 2020

Keywords

  • Data quality
  • DCAT
  • metadata
  • RDF vocabulary
  • W3C

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