Data model / schema · COSMoS semantic layer · current library releases

CDISC Biomedical Concepts

Maintained by CDISC

What it helps you do

CDISC BCs supports standards-agnostic biomedical concept definitions plus implementation artifacts such as SDTM Dataset Specializations and value-level metadata.

  • Clinical
PlanAcquireHarmonizeExchangeLearn + reuse

01

Where it fits and where it does not

Use these four checks before committing implementation time.

Use it when
Computable clinical concepts that connect protocol, collection design, tabulation metadata, and downstream automation.
Limits
Content is informative and incrementally curated; concept, specialization, terminology, and downstream standard versions must be pinned together.
Best for
Clinical teams working across Plan → Acquire → Harmonize.
Maturity
ScalingUsable now, but adoption or tooling is still developing. Pilot the exact stack first.

02

See it in the workflow

This view shows the input, the change the standard introduces, and the resulting output.

  1. InputWhat starts

    Clinical source data, metadata, and local mappings

  2. CDISC BCsWhat changes

    Use CDISC BCs as a pinned data model / schema across Plan → Acquire → Harmonize

  3. OutputWhat becomes possible

    A handoff the next system or team can validate against the same release

Readiness gateContent is informative and incrementally curated; concept, specialization, terminology, and downstream standard versions must be pinned together.

03

A concrete example

A study standards team selects a versioned Biomedical Concept, binds its terminology, and reuses its SDTM Dataset Specialization in metadata-driven study build.

Why it matters: Makes clinical concepts and variable relationships more computable, but does not validate source data, labels, or model fitness.

04

What it fits with

Complements CDISC Foundational Standards and terminology; can support CRF, Define-XML, SDTM specialization, and cross-standard mappings.

05

Implementation starter

Start with one bounded handoff. Pin, test, and review it before scaling.

  1. Define one handoff, its accountable owner, and the decision CDISC BCs must support.

  2. Pin the exact version and companion artifacts: COSMoS semantic layer · current library releases.

  3. Map one representative input to the required data model / schema artifacts.

  4. Test the result against the canonical source and record every exception.

  5. Preserve the source data, mappings, and review evidence before scaling.

06

Test the main limitation

Risk

Content is informative and incrementally curated; concept, specialization, terminology, and downstream standard versions must be pinned together.

Test

Run one representative end-to-end pilot and record exactly where CDISC BCs loses context, needs an extension, or depends on another standard.

Risk

Machine-readable output may still be unfit for analysis or ML.

Test

Test the output for missing context, provenance, terminology alignment, time leakage, and the intended downstream decision. Makes clinical concepts and variable relationships more computable, but does not validate source data, labels, or model fitness.

07

Official resources

Specifications, diagrams, examples, and guides from the organizations that maintain them.

  • Primary sourceCOSMoS semantic layer · current library releases

    CDISC Biomedical Concepts

    Official publisher or steward guidance for this data model / schema profile.

    Publisher
    CDISC
    Open official source

Next action

Put this profile in context

Compare its role with adjacent standards or place it inside an end-to-end data pathway before choosing an implementation.