Connecting
data spaces
across sectors

Through cross-sector AI use cases, we are successively identifying and solving the challenges of networking different data spaces from a practical perspective. This is based on both existing data spaces, such as the Mobility Data Space, and those that are currently being developed. Specifically, relevant technological standards and tools for networking data spaces are being trialled. At the same time, the necessary governance structures are analysed as the basis for cross-sector business models.

By researching and testing relevant technological standards and tools, MISSION KI is working to promote the interoperability of data spaces. Our activities include the realisation and analysis of cross-sector use cases in order to identify practical challenges and develop solutions.

MISSION KI is cooperating with the Berlin-based AI start-up Xayn to enable the secure and legally compliant exchange of data between companies in data rooms. Together, they are developing an AI solution that automatically checks whether all EU compliance regulations and industry-specific requirements are adhered to when sharing data.

The system is intended to make it easier for companies to exchange data and thus create the basis for the development of new AI applications. By expanding the available database, learning systems can be optimised and their performance improved. Allianz is supporting the project with data sets and expertise.

Users want to easily find relevant data for AI applications and assess its quality. However, the lack of a search engine spanning across data spaces, data portals, or other data ecosystems poses a challenge for cross-organizational data exchange.

The project develops services for automated creation of standardized, meaningful dataset profiles (EDPS = "Extended Dataset Profile Service") and a publicly accessible, curated search engine ("Landing Page") for existing public and private data spaces and portals. Based on the created profiles, the latter enables quick search and assessment of data quality and usability - both within and across data spaces. Together, the profiles and search engine strengthen the portability of AI training data, promote interoperability between data sources, and create more transparency.

This facilitates the use of data-driven applications and supports compliance with data quality standards. This project is being conducted jointly with project partners beebucket GmbH, nexyo AG, eXXcellent solutions GmbH, and deltaDAO AG, and runs from September 2024 to March 2025.

In this way, we are driving forward the development of a comprehensive data ecosystem and strengthening the basis for the digital competitiveness of the German economy. Small and medium-sized enterprises in particular can benefit from sovereign data exchange in data spaces by gaining access to new data sources and collaborations that are crucial for the development of data- and AI-based business models. With the aim of European connectivity, we work closely with European and international initiatives such as the Data Spaces Support Centre (DSSC) and the International Data Spaces Association (IDSA).