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mapping-scenarios

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Master 9 SDTM mapping patterns quickly.

Data & Analytics#mapping#derivation#data-transformation#sdtm#clinical-data#supplemental-qualifiers
Authorsiddharthchauhan
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a structured framework to understand and apply the nine essential SDTM mapping scenarios, enabling data teams to transform raw clinical trial data into SDTM-compliant datasets with accuracy and efficiency.

Core Features & Use Cases

  • Defines the 9 SDTM mapping scenarios (Direct Carry Forward, Rename, Attribute Change, Combine, Split, Derivation, Value Mapping, Structure Transformation, Supplemental Qualifiers).
  • Provides example-guided templates and a workflow to generate mapping specifications and apply transformations.
  • Supports validation and documentation of mapping decisions for regulatory submissions.

Quick Start

  1. Provide your source data schema and target SDTM domains.
  2. Run the mapping workflow to generate a specification using the nine-scenario framework.
  3. Execute transformations, validate results, and iterate on mappings as needed.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: mapping-scenarios
Download link: https://github.com/siddharthchauhan/ETL/archive/main.zip#mapping-scenarios

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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