The Data Quality Vocabulary (DQV) provides a framework in which the quality of a dataset can be described, whether by the dataset publisher or by a broader community of users. It does not provide a formal, complete definition of quality, rather, it sets out a consistent means by which information can be provided such that a potential user of a dataset can make his/her own judgment about its fitness for purpose.

Version: 1.0.0

Representation of quality categories and dimensions from Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann, Sören Auer. 2016. “Quality Assessment for Linked Data: A Survey” in Semantic Web, Vol. 7, No. 1, pp. 63-93 (https://dx.doi.org/10.3233/SW-150175).

Version: 1.0.0