MINDDS-connect:一个联邦数据平台,集成生物库,用于元队列构建和分析。

IF 4.6 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
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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引用次数: 0

摘要

获得大量患者队列数据和生物库资源是基因组学和生物医学研究进步的催化剂,增加了统计能力,并揭示了更深入的见解——特别是在罕见疾病和精神健康等领域。负责任的研究需要维护数据隐私、法规遵从性和研究标准化。这些指导原则似乎是相互对立的,对负责任的开放科学构成了障碍。为了应对这些关键挑战,我们开发了MINDDS-Connect,这是一个联邦数据协作平台,通过REST API将基于web的接口与分散的Docker实例集成在一起。该体系结构允许注册用户在平台的网络上安全地查询样本,并提供了一个工具来促进虚拟多中心元队列和研究协作的形成。MINDDS-Connect允许机构保留数据控制,同时通过标准化的元数据字段实现协作研究和元队列分析。它在欧洲五个中心的实施提高了900个样本的可及性,证明了它在实现队列构建和促进合作研究方面的有效性。该平台提供了一个安全的、符合欧盟开放科学政策的开源解决方案,推动了大规模的心理健康研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
European Journal of Human Genetics
European Journal of Human Genetics 生物-生化与分子生物学
CiteScore
9.90
自引率
5.80%
发文量
216
审稿时长
2 months
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
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