CDASH Standards and Conformance in Clinical Data Management focuses on how clinical trial data is collected before it moves into SDTM for review and submission. This video explains where CDASH sits in the data flow, how it affects CRF and eCRF design, and why naming conventions, metadata and traceability matter from the point of capture.
WHAT THIS VIDEO COVERS
• How CDASH supports standardised clinical data collection before SDTM mapping
• Why small differences in adverse event fields, lab data or protocol deviation capture can create downstream work
• How CDASH conformance depends on recommended fields, naming conventions, metadata and traceability
• Why protocol, CRF design, SDTM expectations and sponsor standards should be aligned before EDC configuration
• How controlled terminology, CDASHIG and Therapeutic Area User Guides support clearer collection
• Why ePRO, eCOA, eSource and vendor data can make standardised collection more complex
CDASH does not make every CRF identical. It gives study teams a recognised structure for making collection decisions deliberately, while still allowing protocol-specific requirements. Getting this right can reduce ambiguity at the point of entry and make later data review, mapping and documentation easier to control.
To learn how Quanticate can support your next trial, request a consultation below.