AI-assisted raw → SDTM mapping
Point Data Mapper at raw EDC extracts and it proposes domain, variable, and value-level mappings for review.
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.
Protocol and CRF define the study design and collected data , the reference Data Mapper maps against.
AI-assisted raw → SDTM → ADaM mapping sharply reduces programmer hours on specification and mapping work.
CDISC-driven metadata, rule sets, standard macros, and production-ready code generators accelerate SDTM and ADaM production and QC.
SDTM, ADaM, define.xml, and aCRF are generated natively to CDISC standards, reducing downstream remediation.
A metadata-driven path from raw EDC data to analysis-ready ADaM, with the code and submission documents generated alongside it.
Point Data Mapper at raw EDC extracts and it proposes domain, variable, and value-level mappings for review.
Define analysis datasets from approved SDTM using reusable, metadata-driven derivation rules.
Mappings, standards, and rule sets live in a governed MDR that can be pinned per study and reused across a program.
Generate SAS and R programs directly from approved mapping specifications, ready to execute in the SCE.
define.xml, aCRF, and specification documents are generated natively from the same metadata.
Every ADaM variable traces back through SDTM to the source CRF field, with change history for each version.
Data Mapper sits at the front of the Clymbr Hub flow, feeding approved analysis datasets into SAP Builder and TFL Designer.
Ingest raw EDC extracts and reference the study CRF and standards in the metadata repository.
AI proposes domain and variable mappings; programmers review, adjust, and approve the specification.
Build analysis datasets from approved SDTM using governed derivation rules and sponsor standards.
Produce SAS or R code, define.xml, and aCRF, then execute and QC inside the SCE.
A secure, cloud-based module of Clymbr Hub , governed, versioned, and audit-ready from day one.
Select any capability to see what it does.
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.
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.
Yes. Generated SAS and R programs can be exported, versioned in the SCE, and executed inside Clymbr Hub or in your existing environment.
Bring your team, your study, and your code. We'll show you Data Mapper working end-to-end alongside the rest of the platform.