Announcing D3.1: Designing the EOSC Data Commons Architecture and Functional Specifications (first release)
D3.1, "EOSC Data Commons Architecture and Functional Specifications," is now available and is currently under EC review. This document marks a milestone in establishing a federated framework that enables AI-enhanced discovery, analysis, and reuse of research data across distributed European infrastructures.
The deliverable presents the initial architectural vision and functional requirements for the EOSC Data Commons, designed to bridge the gap between heterogeneous data repositories and high-performance compute environments. Built on principles of interoperability and scalability, the architecture focuses on two transformative core services:
- The EOSC Matchmaker: an engine that enables researchers to discover datasets, tools, and services across multiple scientific domains. This discovery layer is combined with a catalogue of analytics tools and execution services, allowing tools to be deployed close to the data.
- The EOSC Data Player: it complements EOSC Matchmaker by addressing interoperability and integration of execution platforms and data providers. It provides harmonised APIs, shared metadata specifications, and common mechanisms for authentication, authorisation, and provenance tracking.
By outlining the technical components, interfaces, and decision processes behind these services, D3.1 establishes the foundation for their first integrated release. This work is a key step in the evolution of the EOSC Federation, providing the technical blueprint for a "web of FAIR data" that empowers researchers with seamless, AI-ready data ecosystems.
We invite all stakeholders, developers, and researchers to download the deliverable and explore the roadmap for these upcoming services. Your feedback will be essential as we refine these specifications to meet the evolving needs of the global scientific community and drive the next generation of Open Science.
