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

Services

Services

Description:
Services address user needs and pain points, supporting seamless data flow between providers and consumers.

Capabilities:

• Discover Data: Simplifies finding and publishing data.
• Share Data: Streamlines data sharing arrangements.
• Accreditation: Recognises providers, consumers, or services that meet trust framework standards.
• Community Hub: Fosters engagement and knowledge sharing.
• API Gateway: Manages secure API access.

Outstanding Questions:

• How should consent management be handled?