Understanding the core requirements for building trusted data infrastructure that serves both public interest and organisational resilience.
Establishing clear frameworks for how data is managed, shared, and protected across organisational boundaries while maintaining accountability and transparency.
Practical models for data stewardship that balance innovation with responsibility.
Clear roles and responsibilities for data custodians and processors.
Frameworks that work within existing regulatory requirements and industry standards.
Building the foundational systems that enable secure digital interactions and strengthen confidence in data-driven decisions across the ecosystem.
Centralised systems for detecting and responding to fraud patterns and security threats.
Consistent approaches to identity and credential verification across platforms.
Clear documentation of how data is collected, used, and protected.
Creating technical and procedural standards that enable different systems to work together while maintaining data quality, security, and privacy.
Data formats, APIs, and protocols that enable seamless integration.
Defining minimum requirements for data accuracy, completeness, and timeliness.
Standards that embed privacy protections at the architectural level.
How organisations securely share data while maintaining provenance and control.
Consistent approaches to describing data context, lineage, and quality.
Minimum security controls for data storage, transmission, and processing.
Standard ways to capture, communicate, and respect individual data preferences.
Facilitating collaboration between government, industry, and civil society to align incentives and enable collective action on shared data challenges.
Bringing together diverse stakeholders to establish common objectives and approaches.
Shared systems that reduce duplication and increase efficiency across the ecosystem.
Building institutional capabilities for responsible data practices.
Developing practical policy approaches that balance innovation with protection, enabling beneficial data uses while safeguarding individual and collective interests.
Grounding policy development in practical experience and empirical evidence.
Regulatory approaches that can evolve with technological change.
Ensuring individual and collective data rights are respected and enforceable.
Enabling individuals and organisations to move data between services while maintaining control.
Ensuring automated decision-making systems are transparent, fair, and contestable.
Balancing cross-border data flows with national security and economic interests.
Defining when and how data should be accessible for research, public benefit, and accountability.
These business needs require sustained collaboration across sectors. We're building the institutional capacity to address them systematically.