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.

中文翻译：

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介绍数据质量词汇表（DQV）

数据质量词汇表（DQV）提供了用于表达数据质量的元数据模型。DQV由万维网联盟（W3C）的Web最佳实践数据工作组（WW）在2013年至2017年间开发。本文旨在提供对DQV的更深入的了解。它介绍了其关键设计原理，组件以及在设计过程中提出的主要讨论点。本文将DQV与以前的质量文档词汇进行了比较，并通过收集利用和扩展了DQV的工具，论文，项目来证明DQV的早期采用。