NFDI4Health - National Research Data Infrastructure for Personal Health Data
SummaryNFDI4Health - the National Research Data Infrastructure for Personal Health Data - deals with data generated in clinical trials, epidemiological and public health studies. The collection and analysis of these data on health and disease status and important factors influencing it are an essential component for the development of new therapies, comprehensive care approaches and preventive measures in a modern health care system. Although these data already meet high content quality standards, they often do not fulfil the requirements of the FAIR principles:
- The findability of data is often limited due to the lack of international standards for registration and publication.
- Possibilities for data use by third parties are usually unclear.
- Databases are often not interoperable, e.g. due to the great methodological heterogeneity in the recording of exposures and health endpoints.
- Furthermore, privacy requirements and informed consent of study participants restrict the reuse of data.
The partners of the NFDI consortium NFDI4Health are funded by the German Research Foundation (DFG) within the framework of the “Agreement between the Federal Government and the Länder Concerning the Establishment and Funding of a National Research Data Infrastructure” of 26 November 2018. To coordinate the activities, the partners of NFDI4Health participate as far as possible as members in the National Research Data Infrastructure (NFDI) e. V. association and participate in the various bodies and other structures of the association in accordance with its statutes.
IDSN - Integrative Data Semantics in Neurodegeneration Research
SummaryThe main goal of the Integrative Data Semantics in Neurodegeneration Research (IDSN) project was the development of 'integrative data semantics' to support application-oriented systems biology for translational neurodegenerative disease research. One of the outstanding requirements was to link primary data from different model systems and technology platforms with secondary data from public databases and publications. For this purpose, semantic layers were developed in IDSN that provide interpreted data from the different systems. Furthermore, it was quite important to also focus on the integration of clinical routine data that is generated in our clinics daily. More infos
The project is funded by the German Federal Ministry of Education and Research (BMBF) as part of the program "i:DSem – Integrative Datensemantik in der Systemmedizin", project number 031L0029 [A-C].
The project is supervised by the ‚Projektträger Jülich’ (PTJ).