Map clinical data to CDISC SDTM domains using SDTM-IG v3.4.
npx skills add https://github.com/siddharthchauhan/ETL --skill cdisc-standards
Please help me install this Agent Skill. Skill: cdisc-standards Source: https://github.com/siddharthchauhan/ETL/tree/main/sdtm_pipeline/deepagents/skills/cdisc-standards Command: npx skills add https://github.com/siddharthchauhan/ETL --skill cdisc-standards
This skill provides deep understanding of CDISC SDTM standards, including SDTM-IG guidelines and controlled terminology, to enable accurate domain mapping, data validation, and consistent SDTM transformations.
Map a sample dataset to the SDTM DM and AE domains using SDTM-IG guidance. Validate USUBJID, --SEQ, and CT mappings against the standard.
High-intent search queries and answers about installing and using this skill.
To map clinical data to SDTM domains, you apply CDISC SDTM-IG v3.4 guidelines for domain structures, variable requirements, and domain classes to transform raw datasets accurately. This ensures standardized domain mapping and terminology usage.
CDISC controlled terminology provides exact code mappings required for SDTM domain validation across DM, AE, LB, VS, CM, and EX domains. Enforcing these standard validation checks ensures compliance with USUBJID and SEQ rules.
Protocol interpretation aligns with SDTM domain structures by translating study design elements like visit schedules, epochs, and inclusion criteria into standardized data mapping templates. This ensures clinical trial data matches the planned study design.
Yes, you can validate USUBJID and SEQ rules by applying standard validation checks based on CDISC SDTM-IG v3.4. This process enforces exact terminology usage and verifies that clinical data transformations comply with required CT mappings.
The limitation of using CDISC standards for clinical data transformations is that this knowledge base focuses strictly on SDTM-IG v3.4, meaning it may not support newer CDISC implementation guides or specialized domain extensions outside its current scope.
RConsortiumConvert raw EDC/eCRF clinical data into CDISC SDTM domains.
jorgealvesTranslate clinical protocols into CDISC-compliant SDTM/ADaM data schemas.
mark64oswaldGenerate regulatory-grade synthetic clinical trial data across SDTM domains.
awslabsApply CDISC SDTM and ADaM standards to regulatory submissions.
