Data Space Security and Privacy
- Data Encryption Techniques
- Access Control and Authorization
- Data Anonymization and Pseudonymization
- Secure Data Transmission
- Data Masking and Obfuscation
- Data Governance and Compliance
- Privacy-Preserving Data techniques
- Data Privacy Impact Assessments (DPIA)
- Data Lifecycle Management
- Data Auditing and Monitoring
- Collaborative Data Space Security
- Sovereign Data Connectors and Applications
AI, and Machine Learning in Data Space
- Federated Learning, Split Learning & Transfer Learning for Connected Data Ecosystems
- Explainable AI (XAI)
- AI and Privacy, Ethics & Bias
- Machine Learning Ops (MLOps)
- AI for Data Governance
- Edge AI and Data Spaces
- AI Applications for Data Sharing Ecosystems
Data Space Architecture
- Data Space Architecture Fundamentals
- Data Modeling and Design
- Data Integration Architectures
- Real-time Data Processing
- Metadata Management and Data Spaces Brokers
- Big Data Architectures
- Data Security Architectures
- Data Sharing Architecture for AI and Machine Learning
- Cloud-edge Architecture for Data Spaces
- Connected and Federated Data Spaces Architectures
- Evaluation Framework for Data Spaces and Best Practices
Modelling for Data Space Systems
- Conceptual Modelling
- Data Governance Models
- Vocabularies and Ontologies for Data Sharing Ecosystems
- Data and Infrastructure Interoperability
- Best Practices for Interoperable Data Exchange
- Data Quality
- Data Compliance