Researchers like to have flat tables of the extracted DUP data. We have already TORCH which extracts the DUP data. In that process, TORCH creates one FHIR bundle per patient and a single core bundle with data not connected to a specific patient like medications.
The patient bundles contain FHIR resources according to the CDS profiles. However the data inside the resources is already minimised which is beneficial for the flattening process. On top of that we have the CRDTL description of every data extraction which contains all constraints the FHIR data fulfills on top of the constraints of the CDS profiles.