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No Transfer Without Validation: A Data Sharing Framework Use Case
Hauke Hund, Reto Wettstein, Christopher Hampf, Martin Bialke, Maximilian Kurscheidt, Simon T. Schweizer, Christoph Zilske, Simon Mödinger, Christian Fegeler
Availability and accessibility are important preconditions for using real-world patient data across organizations. To facilitate and enable the analysis of data collected at a large number of independent healthcare providers, syntactic- and semantic uniformity need to be achieved and verified. With this paper, we present a data transfer process implemented using the Data Sharing Framework to ensure only valid and pseudonymized data is transferred to a central research repository and feedback on success or failure is provided. Our implementation is used within the CODEX project of the German Network University Medicine to validate COVID-19 datasets at patient enrolling organizations and securely transfer them as FHIR resources to a central repository.
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