Hi, Can this rule be modified to exclude expected variables with length 1 with all values missing in SUPPQUAL domains like QEVAL (missing for CRF/Derived data) and IDVAR/IDVARVAL in SUPPDM (missing since DM has one record per subject) and ARMCD in TV (missing if all arms follow same visits) and TATRANS in TA (missing by protocol design).
Also in the new Study Data Technical Conformance Guide v2.0 section 3.3.3 Dataset Column Length mentions that the length of character data should be maximum across all datasets in a study. So it is likely that some variables like visit in some datasets may have larger length than actually needed based on TV. Any plans on implementing this.
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Hi, Can this rule be modified to exclude expected variables with length 1 with all values missing in SUPPQUAL domains like QEVAL (missing for CRF/Derived data) and IDVAR/IDVARVAL in SUPPDM (missing since DM has one record per subject) and ARMCD in TV (missing if all arms follow same visits) and TATRANS in TA (missing by protocol design).
Also in the new Study Data Technical Conformance Guide v2.0 section 3.3.3 Dataset Column Length mentions that the length of character data should be maximum across all datasets in a study. So it is likely that some variables like visit in some datasets may have larger length than actually needed based on TV. Any plans on implementing this.