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Data Sharing Framework

The Data Sharing Framework (DSF) is a concept for a secure middleware to distribute data sharing processes based on the BPMN 2.0 and FHIR R4 standards. The DSF is used to support biomedical research with routine data, aiming to extract, merge, pseudonymize and provide data stored in multiple distributed organizations. Every participating site runs a FHIR endpoint accessible by other sites and a business process engine in the local secured network. The process engines execute BPMN processes in order to coordinate local and remote steps necessary to enable cross-site data sharing or feasibility analyses. This includes access to local data repositories, use-and-access-committee decision support, consent filtering, and privacy preserving record-linkage and pseudonymization. The aim is to enable secure and syntactically-, semantically- and process-interoperable data exchange across organizational boundaries. The secure communication infrastructure is funded by the German Federal Ministry of Education and Research within the Medical Informatics structure as DSF Community.

DSF concept

Hauke Hund

We are very pleased to have won the Rolf Hansen Memorial Award at EFMI MIE 2023 in Gothenburg. The Rolf Hansen Memorial Award is presented annually by the European Federation for Medical Informatics (EFMI) for an outstanding paper as well as for an excellent presentation. It is named after Rolf Hansen (1931-1993), a well-known Norwegian medical informatician and former president of EFMI. Hauke Hund presented his Paper: No Transfer Without Validation: A Data Sharing Framework Use Case in May at the EFMI MIE. doi:10.3233/SHTI230066

dsf-gecko@hs-heilbronn.de and we will take care of your request as soon as possible.