An international community of researchers, healthcare data specialists, developers and infrastructure partners will meet at the DataSHIELD Conference 2026. NFDI4Health will also travel to Liverpool to present two projects.
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An international community of researchers, healthcare data specialists, developers and infrastructure partners will meet at the DataSHIELD Conference 2026. NFDI4Health will also travel to Liverpool to present two projects.
NFDI4Health is building an infrastructure that not only makes health research data accessible, but also ensures that it can be effectively integrated into research practice. The Open Friday Lecture will present an NFDI4Health key services: the German Research Data Portal for Health (FDPG).
The annual conference of the German Society for Epidemiology (DGEpi) will take place in Ulm from 22 to 24 September 2026. NFDI4Health will be represented with a presentation and an information stand.
This online training introduces the core legal principles for handling health data in research in an interactive format. Participants engage with the fundamental principles of the GDPR, in particular the qualification of personal data (pseudonymisation and anonymisation), the legal bases for processing (especially sensitive health data), as well as the secondary use of data for research. The training builds on questions that researchers have asked as part of the NFDI4Health consultation service, which participants will be able to answer themselves after the training.
The webinar series on Secure Processing Environments (SPEs) examines the future of secure data analysis in health research. NFDI4Health invites you to the fifth session.
Big Data, Small Data, Your Data: ISCB and GMDS invite you to their joint annual conference 2026 in Freiburg. The conference focuses on the intersection of data science, bioinformatics and artificial intelligence.
This online training introduces key principles and practical approaches to Research Data Management (RDM) in biomedical and health research. Participants will explore the research data lifecycle, FAIR Data Principles, metadata and documentation, data quality, sharing and reuse, and common challenges in managing sensitive and heterogeneous health research data.