Innovative solutions for cross-institutional cooperation
Today, more than ever, excellent research and care depend on broad interdisciplinary cooperation. The complexity of diseases, the multitude of diagnostic procedures and therapeutic options as well as new AI-based methods of data science require a seamless integration of different data sources and analytical methods.
Therefore, all research activities of the institute are oriented towards internationally emerging rules and standards. The so-called FAIR-Guiding Principles, i.e. the requirement that data must be findable, accessible, interoperable and reusable, must apply not only to medical data, but also to the software used, such as analysis procedures or IT systems, in order to make research results comprehensible.
In addition to the technical solutions, organizational, ethical and legal issues are just as important when using medical data and developing decision-support systems.
The scientific areas of the institute address the specific requirements in basic biomedical research, clinical research and health services research. The Medical Data Integration Center provides biomedical data from the clinic according to the FAIR criteria mentioned above for medical research.
Interoperability and networking are only possible through close coordination with all stakeholders.
Therefore, we are involved in the German Society for Medical Informatics, Biometry and Epidemiology (GMDS e.V.) as well as in other national and international professional associations. The institute is a founding member of the Technology and Methods Platform for Networked Medical Research. (TMF) and the HiGHmed consortium of the Medical Informatics Initiative.