The NFD4Health Friday Meeting on 6 September 2024 will focus on the French Health Data Hub. The guest lecturer Prof. Dr. Eva Grill will provide insights into the French health system SNDS, including an overview of the data architecture and the data access and analysis process. External participants are welcome to register.
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The networking event "Data Stewardship goes Germany" at RWTH Aachen brings together professionals from research data management. NFDI4Health presents a pilot project for optimized collaboration between data stewards and medical researchers. The event will take place from 11 to 12 September 2024.
NFDI4Health will present a series of contributions at the event “Gesundheit Gemeinsam” taking place at the Deutsches Hygiene-Museum Dresden. Topics include synthetic data, FAIR data infrastructures, and tailored metadata schemas. The conference from 8 to13 September 2024 provides a platform for discussing current developments in health research and data infrastructure.
NFDI4Health and GHGA are collaborating to advance biomedical and genomic research. They aim to simplify the exchange of health data by developing common standards for technology, law, and ethics. The goals of this collaboration have now been formalized in a Memorandum of Understanding.
Timm Intemann from NFDI4Health participated in the Leibniz Association's science quiz. The format "Ten Questions, One Expert" makes research understandable and accessible. In the current edition, "What Do You Know About Health Data?" Intemann highlights the significance and application of health information.
New and improved search and filter functions are now available on the German Central Health Study Hub to enhance the efficiency and user-friendliness of finding clinical, epidemiological, and public health research data.
The European Association for Health Information and Libraries (EAHIL) convened from 11 to 14 June 2024 at the National Library of Latvia in Riga. The conference focused on libraries' adaptability to ongoing changes and effective research data management in healthcare.