Data ingestion & mapping
Ingest EDC, laboratory and external data with validation, versioned mapping specifications and source-to-target traceability.
Analytics and standards
A clinical data analysis and reporting environment that combines CDISC transformation with validated statistical routines. Build SDTM and ADaM datasets, generate standard or ad-hoc TLFs and deliver controlled outputs for medical writing and regulatory teams.
Standardize, analyze and report through one traceable workflow.
Capabilities
Product capabilities are organized around the work study teams need to control, review and deliver—not around disconnected technical features.
Ingest EDC, laboratory and external data with validation, versioned mapping specifications and source-to-target traceability.
Transform raw data into standard domains using controlled terminology, implementation-guide rules and documented decisions.
Create analysis-ready ADSL, BDS and OCCDS structures with standard derivations, naming conventions and independent review.
Generate structured metadata describing datasets, variables, controlled terminology, relationships and derivation logic.
Produce safety and efficacy tables, listings and figures from configurable templates using controlled statistical routines.
Track dataset readiness, output progress and review milestones while retaining run parameters, versions and audit records.
Delivery workflow
Connect LUP with Galax EDC for source data, eTMF for documentation and Galax Safety for integrated safety analysis, with Excel, Word, PDF and SAS-ready outputs.
Validate raw data from EDC, labs and external providers.
Create SDTM, ADaM and supporting metadata with traceability.
Run controlled methods and create standard or ad-hoc outputs.
Export reviewed datasets, TLFs and submission documentation.
Quality and control
Platform controls and documented operating procedures work together to support the sponsor's validated, risk-based use.
Controlled terminology, implementation-guide rules and complete source traceability support standardization.
Analysis datasets follow standard structures with documented derivations and naming conventions.
Machine-readable and human-readable metadata supports regulatory review and data navigation.
Audit trails, versioned programs and quality controls support reproducible GxP analytical activities.
The connected suite
Contact
Share your protocol synopsis, current workflow or delivery gap. We will respond with an achievable configuration and validation approach.
info@galaxbiotech.com