Metadata for Data dIscoverability aNd Study rEplicability in obseRVAtional Studies (MINERVA): Development and Pilot of a Metadata List and Catalogue in Europe

Author:

Pajouheshnia Romin12ORCID,Gini Rosa3ORCID,Gutierrez Lia2ORCID,Swertz Morris A.4ORCID,Hyde Eleanor4ORCID,Sturkenboom Miriam5ORCID,Arana Alejandro2ORCID,Franzoni Carla2ORCID,Ehrenstein Vera6ORCID,Roberto Giuseppe3ORCID,Gil Miguel7ORCID,Maciá Miguel Angel7ORCID,Schäfer Wiebke8ORCID,Haug Ulrike89ORCID,Thurin Nicolas H.10ORCID,Lassalle Régis10ORCID,Droz‐Perroteau Cécile10ORCID,Zaccagnino Silvia11ORCID,Busto Maria Paula11ORCID,Middelkoop Bas11,Gembert Karin12ORCID,Sanchez‐Saez Francisco13ORCID,Rodriguez‐Bernal Clara13ORCID,Sanfélix‐Gimeno Gabriel13ORCID,Hurtado Isabel13ORCID,Acosta Manuel Barreiro‐de14ORCID,Poblador‐Plou Beatriz15ORCID,Carmona‐Pírez Jonás1516ORCID,Gimeno‐Miguel Antonio15ORCID,Prados‐Torres Alexandra15ORCID,Schultze Anna17ORCID,Jansen Ella18ORCID,Herings Ron18ORCID,Kuiper Josine18ORCID,Locatelli Igor19ORCID,Jazbar Janja19ORCID,Žerovnik Špela19ORCID,Kos Mitja19ORCID,Smit Steven20ORCID,Lind Sirje20,Metspalu Andres20ORCID,Simou Stefania21,Hedenmalm Karin21ORCID,Cochino Ana21ORCID,Alcini Paolo21,Kurz Xavier21ORCID,Perez‐Gutthann Susana2ORCID

Affiliation:

1. Division of Pharmacoepidemiology and Clinical Pharmacology Utrecht University Utrecht The Netherlands

2. Department of Epidemiology RTI Health Solutions Barcelona Spain

3. Agenzia Regionale di Sanità della Toscana Florence Italy

4. Department of Genetics University Medical Centre Groningen Groningen The Netherlands

5. University Medical Centre Utrecht Utrecht The Netherlands

6. Department of Clinical Epidemiology Aarhus University and Aarhus University Hospital Aarhus Denmark

7. Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria Agencia Española de Medicamentos y Productos Sanitarios Madrid Spain

8. Leibniz Institute for Prevention Research and Epidemiology Bremen Germany

9. Faculty of Human and Health Science University of Bremen Bremen Germany

10. Bordeaux PharmacoEpi INSERM CIC‐P 1401 Université de Bordeaux Bordeaux France

11. European Society for Blood & Marrow Transplantation Leiden The Netherlands

12. Department of Epidemiology Karolinska Institutet Stockholm Sweden

13. Foundation for the Promotion of Health and Biomedical Research of the Valencia Region Valencia Spain

14. Spanish Working Group on Crohn's Disease and Ulcerative Colitis Bilbao Spain

15. EpiChron Research Group Aragon Health Sciences Institute (IACS), IIS Aragón, Miguel Servet University Hospital Zaragoza Spain

16. Technical Advisory Subdirectorate of Information Management (STAGI) Andalusian Health Service (SAS) Seville Spain

17. London School of Hygiene and Tropical Medicine London UK

18. PHARMO Institute for Drug Outcomes Research Utrecht The Netherlands

19. Faculty of Pharmacy University of Ljubljana Ljubljana Slovenia

20. Institute of Genomics, University of Tartu Tartu Estonia

21. European Medicines Agency Amsterdam The Netherlands

Abstract

ABSTRACTPurposeMetadata for data dIscoverability aNd study rEplicability in obseRVAtional studies (MINERVA), a European Medicines Agency–funded project (EUPAS39322), defined a set of metadata to describe real‐world data sources (RWDSs) and piloted metadata collection in a prototype catalogue to assist investigators from data source discoverability through study conduct.MethodsA list of metadata was created from a review of existing metadata catalogues and recommendations, structured interviews, a stakeholder survey, and a technical workshop. The prototype was designed to comply with the FAIR principles (findable, accessible, interoperable, reusable), using MOLGENIS software. Metadata collection was piloted by 15 data access partners (DAPs) from across Europe.ResultsA total of 442 metadata variables were defined in six domains: institutions (organizations connected to a data source); data banks (data collections sustained by an organization); data sources (collections of linkable data banks covering a common underlying population); studies; networks (of institutions); and common data models (CDMs). A total of 26 institutions were recorded in the prototype. Each DAP populated the metadata of one data source and its selected data banks. The number of data banks varied by data source; the most common data banks were hospital administrative records and pharmacy dispensation records (10 data sources each). Quantitative metadata were successfully extracted from three data sources conforming to different CDMs and entered into the prototype.ConclusionsA metadata list was finalized, a prototype was successfully populated, and a good practice guide was developed. Setting up and maintaining a metadata catalogue on RWDSs will require substantial effort to support discoverability of data sources and reproducibility of studies in Europe.

Funder

European Medicines Agency

Publisher

Wiley

Reference41 articles.

1. X.Kurz “Darwin EU—First Experience and Regulatory Use Cases ” Data Analytics and Methods Taskforce European Medicines Agency. EMA/HMA Big Data Stakeholder Forum 2022 accessed December 15 2022 https://www.ema.europa.eu/en/documents/presentation/session‐2‐1‐darwin‐eu‐r‐first‐experiences‐regulatory‐use‐case‐xavier‐kurz_en.pdf.

2. The FAIR Guiding Principles for scientific data management and stewardship

3. Heads of Medicines Agencies European Medicines Agency “HMA–EMA Joint Big Data Taskforce Phase II Report: Evolving Data‐Driven Regulation ” accessed October 11 2022 https://www.ema.europa.eu/en/documents/other/hma‐ema‐joint‐big‐data‐taskforce‐phase‐ii‐report‐evolving‐data‐driven‐regulation_en.pdf.

4. Heads of Medicines Agencies European Medicines Agency “Priority Recommendations of the HMA–EMA Joint Big Data Task Force ” HMA–EMA Big Data Steering Committee Group accessed January 9 2023 https://www.ema.europa.eu/en/documents/other/priority‐recommendations‐hma‐ema‐joint‐big‐data‐task‐force_en.pdf.

5. Heads of Medicines Agencies European Medicines Agency “Big Data Steering Group ” accessed January 9 2023 https://www.ema.europa.eu/system/files/documents/work‐programme/workplan‐2023‐2025‐hmaema‐joint‐big‐data‐steering‐group_en.pdf.

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