Introducing the Data Quality Vocabulary (DQV)

Eero Hyvonen; Riccardo Albertoni; Antoine Isaac

doi:10.3233/SW-200382

Introducing the Data Quality Vocabulary (DQV)

Eero Hyvonen, Riccardo Albertoni^*, Antoine Isaac

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-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 language	English
Pages (from-to)	81-97
Number of pages	17
Journal	Semantic Web
Volume	12
Issue number	1
Early online date	19 Nov 2020
DOIs	https://doi.org/10.3233/SW-200382
Publication status	Published - 2021

Keywords

Data quality
DCAT
metadata
RDF vocabulary
W3C

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3233/SW-200382

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Cite this

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Introducing the Data Quality Vocabulary (DQV)

Abstract

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

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