Clymb Clinical
Data Mapper logoCLYMBR HUB · SDTM & ADAM

Data Mapper

AI-powered EDC → SDTM → ADaM mapping, governed by metadata.

Data Mapper delivers end-to-end mapping from raw EDC data to SDTM and from SDTM to ADaM, driven by a central Metadata Repository. Built-in AI generates SAS and R code from mapping specifications so programmers ship faster without losing traceability.

  • EDC → SDTM and SDTM → ADaM in one tool
  • Central Metadata Repository (MDR)
  • AI-assisted SAS and R code generation
  • CDISC-aligned mapping specifications
50–60%
Less manual mapping time

AI-assisted raw → SDTM → ADaM mapping sharply reduces programmer hours on specification and mapping work.

30–50%
Faster dataset delivery

CDISC-driven metadata, rule sets, standard macros, and production-ready code generators accelerate SDTM and ADaM production and QC.

100%
CDISC compliance by design

SDTM, ADaM, define.xml, and aCRF are generated natively to CDISC standards, reducing downstream remediation.

Capabilities

What Data Mapper does

A metadata-driven path from raw EDC data to analysis-ready ADaM, with the code and submission documents generated alongside it.

01

AI-assisted raw → SDTM mapping

Point Data Mapper at raw EDC extracts and it proposes domain, variable, and value-level mappings for review.

02

SDTM → ADaM derivation

Define analysis datasets from approved SDTM using reusable, metadata-driven derivation rules.

03

Central Metadata Repository

Mappings, standards, and rule sets live in a governed MDR that can be pinned per study and reused across a program.

04

Production-ready code generation

Generate SAS and R programs directly from approved mapping specifications, ready to execute in the SCE.

05

Submission documents by default

define.xml, aCRF, and specification documents are generated natively from the same metadata.

06

End-to-end traceability

Every ADaM variable traces back through SDTM to the source CRF field, with change history for each version.

How it works

Data Mapper in the workflow

Data Mapper sits at the front of the Clymbr Hub flow, feeding approved analysis datasets into SAP Builder and TFL Designer.

Load raw data

Ingest raw EDC extracts and reference the study CRF and standards in the metadata repository.

Map to SDTM

AI proposes domain and variable mappings; programmers review, adjust, and approve the specification.

Derive ADaM

Build analysis datasets from approved SDTM using governed derivation rules and sponsor standards.

Generate and QC

Produce SAS or R code, define.xml, and aCRF, then execute and QC inside the SCE.

Key functionalities

Everything included in Data Mapper

A secure, cloud-based module of Clymbr Hub , governed, versioned, and audit-ready from day one.

11 capabilities shipped today
Capability

Secure cloud-based, scalable solution

Select any capability to see what it does.

Standards & compliance

Built to the standards your submission expects

  • CDISC CDASH
  • CDISC SDTM
  • CDISC ADaM
  • Controlled Terminology
  • define.xml
  • aCRF
  • SAS
  • R
Who uses it

Teams working in the same workspace

  • Statistical programmers
  • Data standards leads
  • Data managers
  • Biostatistics leads
  • Submission teams
Common questions

About Data Mapper

What does Data Mapper do?+

Data Mapper converts raw clinical data from EDC systems into SDTM domains, then maps SDTM into ADaM analysis datasets. Mappings are stored as metadata in a central repository, and the tool can auto-generate the SAS or R code that implements them.

Does Data Mapper follow CDISC standards?+

Yes. Data Mapper is CDISC-aligned and works with the SDTM and ADaM implementation guides. Standards can be pinned per study and reused across a compound or program.

Can I export the generated mapping code?+

Yes. Generated SAS and R programs can be exported, versioned in the SCE, and executed inside Clymbr Hub or in your existing environment.

See Data Mapper inside Clymbr Hub.

Bring your team, your study, and your code. We'll show you Data Mapper working end-to-end alongside the rest of the platform.