Benjamin Huremagic, Nishkala Sattanathan, Mathilde Geysens, Janet Harwood, Jente Verbesselt, Senne Meynants, Ann Swillen, Kris Van Den Bogaert, Danijela Drakulic, Goran Cuturilo, Thérèse van Amelsvoort, David Linden, Natália Oliva-Teles, Paula Jorge, Marianne B M van den Bree, Jessica H Hall, Haleh Chizari, Amin Ardeshirdavani, Adrian J Harwood, Geert Vandeweyer, Yves Moreau, Joris Robert Vermeesch
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It can appear that these guiding principles oppose each other and present barriers to responsible Open science. To address these critical challenges, we developed MINDDS-Connect, a federated data collaboration platform that integrates a web-based interface with decentralized Docker instances via a REST API. This architecture allows registered users to securely query samples across the platform's network, and offers a tool to facilitate the formation of virtual multi-centric meta-cohorts and research collaboration. MINDDS-Connect allows institutions to retain data control while enabling collaborative research and meta-cohort analysis through standardized metadata fields. Its implementation across five European centers enhanced the accessibility of 900 samples, demonstrating its effectiveness in enabling cohort construction and promoting collaborative research. The platform provides a secure, open-source solution consistent with EU Open Science policies, advancing large-scale mental health research.</p>","PeriodicalId":12016,"journal":{"name":"European Journal of Human Genetics","volume":" ","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MINDDS-connect: a federated data platform integrating biobanks for meta cohort building and analysis.\",\"authors\":\"Benjamin Huremagic, Nishkala Sattanathan, Mathilde Geysens, Janet Harwood, Jente Verbesselt, Senne Meynants, Ann Swillen, Kris Van Den Bogaert, Danijela Drakulic, Goran Cuturilo, Thérèse van Amelsvoort, David Linden, Natália Oliva-Teles, Paula Jorge, Marianne B M van den Bree, Jessica H Hall, Haleh Chizari, Amin Ardeshirdavani, Adrian J Harwood, Geert Vandeweyer, Yves Moreau, Joris Robert Vermeesch\",\"doi\":\"10.1038/s41431-025-01927-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Access to large patient cohort data and biobanked resources is a catalyst for progress in genomics and biomedical research, increasing statistical power, and unlocking deeper insights-especially in areas like rare diseases and mental health. 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MINDDS-connect: a federated data platform integrating biobanks for meta cohort building and analysis.
Access to large patient cohort data and biobanked resources is a catalyst for progress in genomics and biomedical research, increasing statistical power, and unlocking deeper insights-especially in areas like rare diseases and mental health. Responsible research necessitates maintenance of data privacy, regulatory compliance, and research standardization. It can appear that these guiding principles oppose each other and present barriers to responsible Open science. To address these critical challenges, we developed MINDDS-Connect, a federated data collaboration platform that integrates a web-based interface with decentralized Docker instances via a REST API. This architecture allows registered users to securely query samples across the platform's network, and offers a tool to facilitate the formation of virtual multi-centric meta-cohorts and research collaboration. MINDDS-Connect allows institutions to retain data control while enabling collaborative research and meta-cohort analysis through standardized metadata fields. Its implementation across five European centers enhanced the accessibility of 900 samples, demonstrating its effectiveness in enabling cohort construction and promoting collaborative research. The platform provides a secure, open-source solution consistent with EU Open Science policies, advancing large-scale mental health research.
期刊介绍:
The European Journal of Human Genetics is the official journal of the European Society of Human Genetics, publishing high-quality, original research papers, short reports and reviews in the rapidly expanding field of human genetics and genomics. It covers molecular, clinical and cytogenetics, interfacing between advanced biomedical research and the clinician, and bridging the great diversity of facilities, resources and viewpoints in the genetics community.
Key areas include:
-Monogenic and multifactorial disorders
-Development and malformation
-Hereditary cancer
-Medical Genomics
-Gene mapping and functional studies
-Genotype-phenotype correlations
-Genetic variation and genome diversity
-Statistical and computational genetics
-Bioinformatics
-Advances in diagnostics
-Therapy and prevention
-Animal models
-Genetic services
-Community genetics