GDS Data Architecture

• About

Data Sharing Principles

• Overview
• 1. Treat data as an asset
• 2. Federate first
• 3. Prepare for Once Only
• 4. Reuse sharing solutions
• 5. Support automation
• 6. Design for all data stakeholders
• 7. Use common standards for sharing
• 8. Share data transparently
• 9. Share data lawfully and ethically
• 10. Secure shared data proportionately

Capability Model

• Overview
• Channels
• Infrastructure
• Data Access
• Services
• Governance
• Security
• Trust

Data Access

Data Access

Description:
Enables providers and consumers to exchange, combine, and use well-managed data, often with third-party involvement.

Capabilities:

• Access Data: Secure access for consumers post-agreement.
• Manage Data: Proactive management, access rights, compliance, and controls.
• Curate Data: Transformation and repackaging to meet consumer needs.
• Publish Metadata: Publishing metadata about available assets.
• Link Data: Joining datasets to create unified data products.
• Use Data: Tools for analysis, ML, and other uses.

Outstanding Questions:

• Are data contracts part of access, or is a separate negotiation capability needed?