Working groups, data rooms and data circles help to look at data challenges in a concrete and domain-specific way. Data spaces focus on superordinate domains (economic areas, industrial sectors or other specialised fields of application), with a decentralised data infrastructure on which data circles can build. In a data space, data is made available for potential innovative services while maintaining data sovereignty.
Examples of Data Spaces:
Health data, art and culture, geodata, construction, financial data