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.

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Publication Details

Journal
European Journal of Human Genetics
Published
2025-08-20
DOI
https://doi.org/10.1038/s41431-025-01927-5
Citations
2
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
3.63

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article

MINDDS-connect: a federated data platform integrating biobanks for meta cohort building and analysis

Benjamin Huremagic, Geert Vandeweyer, Thérèse van Amelsvoort, Kris Van Den Bogaert et al.
2 citations
European Journal of Human Genetics
Genomics and Rare Diseases
3.63
article

MINDDS-connect: a federated data platform integrating biobanks for meta cohort building and analysis

Benjamin Huremagic, Geert Vandeweyer, Thérèse van Amelsvoort, Kris Van Den Bogaert, Paula Jorge, Goran Čuturilo, Yves Moreau, David E.J. Linden, Amin Ardeshirdavani, Mathilde Geysens, Natália Oliva Teles, Janet Harwood, Adrian J. Harwood, Jente Verbesselt, Nishkala Sattanathan, Joris Robert Vermeesch, Haleh Chizari, Ann Swillen, Danijela Drakulić, Marianne B. M. van den Bree, Senne Meynants, Jessica H. Hall
article en
2 citations

Abstract

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.

European Journal of Human GeneticsVol. 33(11)
University of Antwerp (BE), Universidade do Porto (PT), Maastricht University (NL), University of Belgrade (RS), Centre For Human Genetics (IN), Antwerp University Hospital (BE), Center for Human Genetics (US), Hospital de Santo António (PT), University Children's Hospital, Belgrade (RS), i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT), Cardiff University (GB), Cardiff Metropolitan University (GB), KU Leuven (BE)
KU Leuven, Medical Research Council, Universitaire Ziekenhuizen Leuven, KU Leuven, National Institute of Mental Health
Openalex Percentile: Top 7%
Genomics and Rare Diseases
3.63
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