COVID-19 Data Exchange Platform
With the research data platform CODEX, a secure, expandable and interoperable platform for the provision of research data on Covid-19 is being established, connecting university hospitals nationwide. This is intended to make structured data of high quality available to the scientific community and to enable innovative evaluations.
The basis is the preliminary work of the Medical Informatics Initiative (MII) of the Federal Ministry of Education and Research (BMBF). The already established decentralized nationwide research data infrastructure via the data integration centers of the MII will be supplemented by a central component for CODEX. For this central research data platform, the aim is to create a database from different data sources that is available as quickly as possible and meets the requirements of research ethics (FAIR principles) and the EU General Data Protection Regulation.
The CODEX project was launched in August 2020 and is a central component of the Network University Medicine (NUM), which is funded by the BMBF with 150 million euros. In the initial phase, the clinical research platform of the German Center for Cardiovascular Research (DZHK) will be used.
The cross-site platform will make complex Covid-19 research datasets including clinical data and biospecimen data from all German university hospitals available to researchers in a pseudonymized form. CODEX thus aims to contribute to a better understanding of the Covid-19 disease, to serve as a basis for policy decisions, and to advance the development of innovative and high-quality services and applications for healthcare institutions, citizens.
MIRACUM project partner
- Technical University Dresden
- University Hospital Frankfurt am Main
- University Hospital Freiburg
- University Hospital Gießen
- University Hospital Mannheim
- Gruendner et al. – Architecture for a privacy preserving feasibility query portal for distributed COVID19 Fast Healthcare Interoperability Resources (FHIR) patient data repositories: Design and Implementation Study
- Rosenau et al. – Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for federated Feasibility Queries in the context of COVID-19: An automated approach