4a. Data Governance, Analytics and European Data Spaces

Scope

European data spaces are fundamental infrastructure for Virtual Worlds, enabling secure, sovereign, and interoperable data sharing across sectors while respecting European values and regulations.

Key Research Areas

European Data Spaces

• Common European data space architectures
• Sector-specific data spaces (Manufacturing-X, Health, Cultural Heritage)
• Data sovereignty and cross-border data flows
• Federated data infrastructures
• Data space interoperability

Data Governance Frameworks

• Implementation of Data Governance Act
• Data sharing agreements and contracts
• Data intermediaries and data cooperatives
• Access rights and usage control
• Compliance with GDPR and other regulations

Analytics Infrastructure

• Distributed analytics capabilities
• Real-time data processing for VW
• Privacy-preserving analytics (federated learning, differential privacy)
• Edge analytics for XR applications
• AI model training on federated data

Semantic Interoperability

• Common data models and ontologies
• Semantic mapping between domains
• Metadata standards
• Data catalogues and discovery services
• Cross-domain data integration

Strategic Recommendations

For Policymakers

1. Invest in European data space infrastructure
2. Harmonize data governance across member states
3. Support data sovereignty initiatives
4. Fund research on privacy-preserving technologies
5. Enable cross-sector data sharing

For Industry

1. Participate in sector-specific data spaces
2. Implement data governance frameworks
3. Adopt common data models and standards
4. Invest in privacy-preserving analytics
5. Ensure GDPR compliance

Cross-References

• 2d. Standardisation and Interoperability: For data standards
• 2e. Digital Twins: For DT data exchange
• 3b. Governance: For legal frameworks
• 3e. Trust: For data privacy and governance