DQU Guidelines - Operationalisation of QUANTUM label data quality and utility framework

This document provides practical guidance for data holders on how to assess and report the quality and utility of datasets within the QUANTUM framework. It complements the QUANTUM specifications by translating the framework into operational guidance, examples, and measurement approaches for each dimension of the label. It also includes a data quality reporting template and methodological guidance on controls, checks, rules, criticality, and reporting logic. The aim of the document is to support a more consistent, transparent, and auditable application of the QUANTUM Data Quality and Utility Label across data holders. Rather than prescribing a single mandatory way of measuring each dimension, it provides illustrative use cases and practical examples to help organisations understand what each dimension represents and how it may be assessed in practice. This is particularly important given the heterogeneity of data holders in terms of workflows, technical maturity, and level of automation. The guidance is therefore intended to facilitate implementation and comparability, while remaining flexible enough to accommodate different institutional contexts. The document builds on the specifications developed under the QUANTUM project and on preliminary work carried out by the Belgian Health Data Agency (HDA) in collaboration with the European Institute for Innovation through Health Data (i~HD), later reviewed and expanded by QUANTUM partners. It precedes the full implementation of the QUANTUM tool; consequently, some terminology may differ slightly from that used in the software environment, although most controls described here correspond directly to metrics in the tool. In line with the broader QUANTUM objective, this guidance supports data holders in producing structured, comparable, and interoperable information on dataset quality for use within the European Health Data Space.