Automate EDC-to-SDTM dataset export pipeline using REDCap API and CDISC mapping

domain: project-redcap.org / cdisc.org · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Export the REDCap data dictionary via content=metadata (API) to obtain all field names, labels, field types, and choices (coded values), which form the basis for SDTM variable mapping
  2. Export records in the flat JSON format using the REDCap API, retrieving raw coded values (rawOrLabel=raw) to preserve controlled terminology codes before label substitution
  3. Apply the SDTM mapping specification (maintained in a CSV or Excel mapping document) to transform REDCap field names to SDTM variable names, assigning correct domains (DM, AE, LB, VS, etc.) and controlled terminology from the NCI Thesaurus
  4. Construct the SDTM datasets in SAS Transport (XPT v5) format using SAS, Python (pyreadstat or xport library), or R, ensuring variable name length does not exceed 8 characters and value length does not exceed the dataset-specific limit
  5. Run Pinnacle 21 validation against the generated XPT files and the accompanying Define-XML to identify SDTM Implementation Guide rule violations before submission packaging
  6. Archive the mapping specification, transformation code, and validation reports as part of the study data reviewer's guide to provide FDA reviewers traceability from CRF to SDTM variable

Known gotchas

Related routes

Implement CDISC CDASH-compliant CRF design in REDCap to streamline downstream SDTM mapping
cdisc.org/standards/foundational/cdash · 6 steps · unrated
Export and package SDTM and ADaM datasets with Define-XML for FDA NDA/BLA electronic submission
fda.gov/industry/study-data-standards-resources · 6 steps · unrated
Export records from a REDCap project via the REDCap API including longitudinal event data
project-redcap.org (REDCap API documentation) · 6 steps · unrated

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