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.
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).