Introducing the Data Quality Vocabulary (DQV) (2024)

Hyvonen, E., Albertoni, R., & Isaac, A. (2021). Introducing the Data Quality Vocabulary (DQV). Semantic Web, 12(1), 81-97. https://doi.org/10.3233/SW-200382

Hyvonen, Eero ; Albertoni, Riccardo ; Isaac, Antoine. / Introducing the Data Quality Vocabulary (DQV). In: Semantic Web. 2021 ; Vol. 12, No. 1. pp. 81-97.

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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.",

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Hyvonen, E, Albertoni, R & Isaac, A 2021, 'Introducing the Data Quality Vocabulary (DQV)', Semantic Web, vol. 12, no. 1, pp. 81-97. https://doi.org/10.3233/SW-200382

Introducing the Data Quality Vocabulary (DQV). / Hyvonen, Eero; Albertoni, Riccardo; Isaac, Antoine.
In: Semantic Web, Vol. 12, No. 1, 2021, p. 81-97.

Research output: Contribution to Journal › Article › Academic › peer-review

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KW - metadata

KW - RDF vocabulary

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Hyvonen E, Albertoni R, Isaac A. Introducing the Data Quality Vocabulary (DQV). Semantic Web. 2021;12(1):81-97. Epub 2020 Nov 19. doi: 10.3233/SW-200382