Cloud-Native Dataspaces: Experiences from the German Research Data Ecosystem
summary
Cloud-native dataspaces for the German research ecosystem use Kubernetes per domain with S3 as lingua franca for data exchange, a decentralized metadata DB plus a central search index, OpenID Connect for auth and Open Policy Agent / CEL for policy, NATS.io and Argo Events/Workflows for event-driven validation, and ODRL/IDS for contracts; a working prototype named Aruna (WIP) orchestrates connectors and access. A construction use case shows contract-based, auditable access to endangered-species data. Main gaps are trust building, heterogeneous metadata ontologies, and cross‑jurisdictional legal issues.
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chapters (10)
- 0:00Introduction
- 3:16Data space principles
- 8:37Data sharing challenges
- 10:48Standards and governance
- 13:15FAIR data space architecture
- 16:53Event-driven workflows
- 17:57Cloud management and P2P exchange
- 19:42Decentralized data space benefits
- 20:45Trustworthy data ecosystems challenges
- 21:49Outlook and Aruna project
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