The need for explicit and precise information on data quality within the data productivity chain is becoming increasingly important, particularly in the context of EOSC strategy development. The former EOSC Task Force 'FAIR Metrics & Data Quality' developed a framework document providing recommendations on achieving Data Quality as an opportunity rather than a burden. This is a starting point that facilitates the reuse of trustworthy data, methods, for artificial intelligence, and providing an ensemble of agreements for EU Data Spaces. Through open consultations with the global community, a consensus was reached on providing data quality and indicators as a FAIR artefact. The new EOSC Strategic Pillars for 2026–2027 have raised awareness of the importance of data quality, emphasising its significant role in the operation of research data infrastructures. An overall assessment service on Data Quality does not exist. Domain-specific insights provide examples from NFDI, CODATA and for cultural data, spatial data domains or the health sector.