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

Infrastructure

Infrastructure

Description:
Provides the foundational technologies, tools, and integrations required to support services and data sharing.

Capabilities:

• Storage: Scalable, secure storage for structured and unstructured data.
• Networking: Reliable connectivity and data transfer.
• Automation: Infrastructure provisioning, monitoring, and policy enforcement.
• Integration: Secure, scalable data exchange between systems.
• Compute: Scalable environments for processing and workloads.
• Resilience: Ensures availability and continuity (disaster recovery, business continuity).

Outstanding Questions:

• What infrastructure is needed for edge compute and AI?
• Should digital wallets support identity and accreditation?