Goals & Impact
Project Aim
Boosting the scientific excellence and innovation capacity in the data space interoperability domain through sustainable in the long-term research and innovation collaboration.
Partners
National University of Ireland Galway, Ireland
Sintef AS, Norway
Research
Various areas in the Data Spaces interoperability domain, namely semantic reasoning; neuro-symbolic approach for data space interoperability; self-supervised learning for semantic interoperability in data spaces; federation – decentralized data sharing and processing architectures; data enrichment; explainability and others.
DataTwin will realise several use cases to showcase data space interoperability, including smart data sharing, simulations, and data-driven decisions in many city aspects, mobility and healthcare.
