Landscape analysis towards data quality and utility labelling in the European Health Data Space.
The European Health Data Space (EHDS) promotes health data sharing and secondary use across Europe. The QUANTUM project focuses on labelling data quality (DQ), utility, and maturity to support EU-wide standards within this context. This study examines current DQ assessment practices in European Data...
| Published in: | European Journal of Public Health Vol. 36; no. 2; pp. 1 - 9 |
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| Main Authors: | , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Apr2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193017686&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193017686 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11011262 BHW jtl: European Journal of Public Health issn: 11011262 maglogo: N pubinfo: dt: Apr2026 vid: 36 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 193017686 193017686 193017686 10.1093/eurpub/ckag009 193017686 ppf: 1 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Landscape analysis towards data quality and utility labelling in the European Health Data Space. aug: au: Sánchez-García, Ángel Mercuri, Claudio Proietti Schutte, Nienke Estupiñán-Romero, Francisco Tellería-Orriols, Carlos Doñate-Martínez, Ascensión García-Gómez, Juan M Bernal-Delgado, Enrique Sáez, Carlos QUANTUM*, On behalf of affil: Biomedical Data Science Lab (BDSLab), Instituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Valencia, Spain sug: subj: Data Quality Evaluation Electronic Health Records Utilization Software Electronic Data Interchange Organizational Policies Evaluation Professional Practice Software Design European Union Health Informatics Machine Learning Human Funding Source Europe Surveys European Union Access to Information Artificial Intelligence, Generative Natural Language Processing Data Management Health Information Systems Health Policy Self Assessment ab: The European Health Data Space (EHDS) promotes health data sharing and secondary use across Europe. The QUANTUM project focuses on labelling data quality (DQ), utility, and maturity to support EU-wide standards within this context. This study examines current DQ assessment practices in European Data Holder institutions to inform the design of a labelling tool for the EHDS. The study explored institutional practices for DQ assurance and assessment through a survey of EU-wide Data Holders and a literature search on open-source health DQ tools with potential for labelling. The survey targeted QUANTUM partners and external institutions, addressing DQ practices and tools. The literature review followed PRISMA guidelines and combined PubMed, AI-based queries, and known sources. We obtained survey responses from 27 Institutions across 13 European countries. The results showed a high variety and heterogeneity in DQ practices and tools used, including in-house developed tools, open-source tools, commercial products, and manual procedures. Most practices allowed customization of DQ dimensions and export of DQ analyses. The systematic review identified 66 DQ tools, 53% specific to data types such as electronic health records, omics or imaging, and 47% general-purpose. The diverse DQ institutional practices and tools emphasize the need for an interoperable self-assessment DQ labelling tool that guides the measurement and completion of consolidated metrics aligned with the EHDS regulations. Based on these findings, the QUANTUM project is developing this tool to support DQ labelling of Data Holders' datasets candidate to publication at EU Health Data Access Bodies. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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