Introducing the Data Quality Vocabulary (DQV)

Article type: Research Article

Authors: Albertoni, Riccardo^{a; *} | Isaac, Antoine^b

Affiliations: [a] Istituto di Matematica Applicata e Tecnologie Informatiche “Enrico Magenes”, Consiglio Nazionale delle Ricerche (IMATI-CNR), Via De Marini, 6, 16149 Genova, Italy. E-mail: [email protected] | [b] VU University Amsterdam and Europeana, The Netherlands. E-mail: [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

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.

Keywords: Data quality, W3C, metadata, RDF vocabulary, DCAT

DOI: 10.3233/SW-200382

Journal: Semantic Web, vol. 12, no. 1, pp. 81-97, 2021