Talk
In session
Data Management Workflows
,
Sept. 3, 2025,
16:30 –
18:15
Exact timing:
18:00 –
18:15
Room info:
Lecture Hall
,
,
,
,
,
- German Climate Computing Center (DKRZ)
The growing complexity of digital research environments and the explosive increase in data volume demand robust, interoperable infrastructures to support sustainable Research Data Management (RDM). In this context, data spaces have emerged—especially in industry—as a powerful conceptual framework for organizing and sharing data across ecosystems, institutional boundaries, and disciplines. Although the term is not yet fully established in the research community, it maps naturally onto scientific practice, where the integration of heterogeneous datasets and cross-disciplinary collaboration are increasingly central.
Aligned with the principles of open science, FAIR Digital Objects (FDOs) provide a promising infrastructure for structuring these emerging data spaces. FDOs are standardized, autonomous, and machine-actionable digital entities that encapsulate data, metadata, software, and semantic assertions. They enable both humans and machines to Find, Access, Interoperate, and Reuse (FAIR) digital resources efficiently. By abstracting from underlying technologies and embedding persistent, typed relations, FDOs allow for seamless data integration, provenance tracking, and rights management across domains. This structure promotes reproducibility, trust, and long-term sustainability in data sharing.
Using an example from climate research, we demonstrate how data from from different data spaces can be combined. By employing STACs (Spatio Temporal Asset Catalogs) defined as FAIR Digital Objects facilitating the European Open Science Cloud (EOSC) Data Type Registry, we address a specific interdisciplinary research question. This approach not only illustrates the practical application of FDOs but also highlights how they can provide a robust framework for tackling larger and more complex scientific challenges by streamlining workflows and enabling collaboration across disciplinary and institutional boundaries.