admiral-bds

Derive ADaM BDS datasets from SDTM findings domains using admiral.

93|23|Updated Mar 4, 2026

Search Tags:#SDTM #ADaM #clinical trial #data derivation #BDS

Ready to run

npx skills add https://github.com/RConsortium/pharma-skills --skill admiral-bds

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: admiral-bds
Source: https://github.com/RConsortium/pharma-skills/tree/main/admiral/admiral-bds
Command: npx skills add https://github.com/RConsortium/pharma-skills --skill admiral-bds

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires admiral, dplyr, lubridate, pharmaversesdtm, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the derivation of ADaM Basic Data Structure (BDS) datasets from SDTM findings domains, streamlining the process of creating and maintaining clinical trial data.

Core Features & Use Cases

ADaM BDS Derivation: Automatically generate ADaM BDS datasets (ADVS, ADLB) from SDTM VS and LB domains.
CDISC Conformance: Ensures datasets adhere to CDISC ADaM standards for quality and regulatory compliance.
Use Case: For a clinical trial, use this Skill to derive the necessary BDS datasets from the SDTM findings, enabling efficient data analysis and reporting.

Quick Start

Use the admiral-bds skill to derive the ADVS and ADLB datasets from the provided SDTM VS and LB domains.

Frequently Asked Questions about admiral-bds

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I derive ADaM BDS datasets from SDTM domains?▼

ADaM BDS datasets are derived from SDTM findings domains by applying admiral routines to transform VS and LB data into ADVS and ADLB structures, ensuring CDISC compliance for analysis and reporting.

What is the ADaM Basic Data Structure used for in clinical trials?▼

ADaM Basic Data Structure (BDS) is used for clinical trial data analysis and reporting, providing a standardized dataset format derived from SDTM findings to support regulatory submissions.

Do I need a completed ADSL dataset before deriving ADaM BDS?▼

Yes, a completed ADSL dataset is required before deriving ADaM BDS datasets. The derivation process needs SDTM input data, an ADaM BDS specification, and ADSL to generate ADVS and ADLB.

Can I use admiral to automate ADVS and ADLB dataset generation?▼

Yes, admiral automates the generation of ADVS and ADLB datasets from SDTM VS and LB domains. It integrates with dplyr and lubridate to streamline the ADaM BDS derivation process.

Does this ADaM derivation approach ensure CDISC conformance?▼

This ADaM derivation approach ensures datasets adhere to CDISC ADaM standards for quality and regulatory compliance by systematically transforming SDTM findings into BDS structures.

What are the limitations of using admiral for BDS data derivation?▼

Using admiral for BDS data derivation requires SDTM input data, an ADaM BDS specification, and a completed ADSL dataset. It is specifically designed for findings domains like VS and LB rather than all SDTM domains.