From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors

TL;DR

This paper presents various demonstrators of FAIR Data Spaces across sectors, showcasing technical, legal, and ethical frameworks that connect industry and research data infrastructures in cloud environments.

Contribution

It introduces a unified approach to integrating business and research data spaces through common frameworks and demonstrators across multiple domains.

Findings

Successful demonstration of FAIR Data Spaces in health, biodiversity, and engineering.

Bridging B2B data spaces with research infrastructures is feasible.

Technical and legal frameworks support cross-sector data sharing.

Abstract

The principles of data spaces for sovereign data exchange across trusted organizations have so far mainly been adopted in business-to-business settings, and recently scaled to cloud environments. Meanwhile, research organizations have established distributed research data infrastructures, respecting the principle that data must be FAIR, i.e., findable, accessible, interoperable and reusable. For mutual benefit of these two communities, the FAIR Data Spaces project aims to connect them towards the vision of a common, cloud-based data space for industry and research. Thus, the project establishes a common legal and ethical framework, common technical building blocks, and it demonstrates the orchestration of multiple building blocks in self-contained settings addressing a diverse range of use cases in domains including health, biodiversity, and engineering. This paper gives a summary of all demonstrators, ranging from research data infrastructures scaled to industry-ready cloud environments to work in progress on building bridges between operational business-to-business data spaces and research data infrastructures.