AI Alliance BW

AI Alliance Baden-Wurttemberg: Subproject Data Platforms

The AI Alliance Baden-Württemberg aims to develop a data platform for AI-relevant data exchange among academic and industrial stakeholders.

The AI Alliance Baden-Württemberg is developing data management solutions that will support the development of new applications of artificial intelligence in companies, research institutions, and the public sector. This will be achieved by strengthening regional resources and competencies in Baden-Württemberg through a decentralised, cooperative approach.

The first funded project of the AI Alliance Baden-Württemberg, "Data Platforms", has clear objectives:

  • To network existing data collections from different sectors of the economy, science, and public administration, creating a searchable, cooperative data space.
  • To treat data as a valuable asset and to increase its value by using metadata, including those used in Gaia-X
  • To share data and make it available for use in high-value services
  • To provide customized views and integrate additional data collections from domains such as health, production, mobility, environment, energy, and smart city, using subject-specific modules

The AI Alliance follows the idea of the platform economy, in which data providers make relevant data available and data consumers can easily find it, reducing dependencies and promoting diversity of offerings.

The resulting technical and organizational infrastructure will feature metadata curation, standardized description formats, and a secure, decentralised architecture for the cooperatively managed data space. The goal is to develop and prototype customized concepts for data exchange.

Specific data spaces will be established in order to tackle the technical and legal challenges associated with data sharing. These domain-specific data spaces will enable stakeholders to adopt consistent legal frameworks for data exchange.

In addition, technical and organisational tools are being developed to create added value for data providers and users. These include ethical guidelines, data quality assurance measures, and methods for the assessment of the usability of AI-generated content. A "data catalogue" will be introduced to systematically and uniformly research and source data.

The AI Alliance will also seek out opportunities to link to related initiatives such as Gaia-X.

Within the framework of this project, the High-Performance Computing Center Stuttgart will design the technical architecture of a future data platform for AI-relevant data in Baden-Württemberg.

Project partners

  • Fraunhofer-Institut für Optronik, Systemtechnik und
  • Bildauswertung IOSB (Projektkoordinator)
  • Karlsruher Institut für Technologie (KIT)
  • Forschungszentrum Informatik (FZI)
  • Höchstleistungsrechenzentrum Stuttgart (HLRS)
  • Fraunhofer-Institut für Produktionstechnik und
  • Automatisierung IPA
  • Universitätsklinikum Freiburg
  • Stadt Freiburg
  • Hochschule Aalen
  • Eberhard-Karls-Universität Tübingen

Funding

MWAT Logo: Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg

Contact

Thomas Bönisch

Head, Project and User Management, Accounting

+49 711 685-87222 thomas.boenisch(at)hlrs.de

Dennis Hoppe

Head, Service Management and Business Processes

+49 711 685-60300 dennis.hoppe(at)hlrs.de