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Data Architecture and Tools

SPARC’s data ecosystem enables secure, interoperable, and high-quality data flows between institutions, supporting diagnostics, MTBs, research, and AI tools.

Core Features

1
FAIR-Aligned Architecture

SPARC’s architecture ensures that data are:

  • Findable through unified indexing
  • Accessible via controlled permissions
  • Interoperable using standard vocabularies and ontologies
  • Reusable through metadata-rich documentation
2
GDPR-Compliant Data Governance

Key components include:

  • Secure authentication and identity management
  • Role-based access
  • Data minimisation and controlled sharing
  • Full alignment with EU data protection requirements
3
Integrated Data Sources

The architecture supports:

  • Clinical data
  • Genomic sequences and variant calls
  • Liquid biopsy results
  • Imaging and pathology data
  • Treatment and outcome information

These streams combine to produce a holistic patient profile.

4
Decision-Support Tools

SPARC deploys tools that assist in:

  • Variant interpretation
  • Identification of clinically actionable findings
  • Literature evidence retrieval
  • Treatment option mapping
  • Preparing MTB case summaries

These tools improve the precision and consistency of clinical recommendations.