EOSC-ENTRUST D20.1 Second Deployable Demonstrator of Digital Objects & Workflows
This deliverable (D20.1) presents the Second Deployable Demonstrator of Digital Objects & Workflows (hereafter, the Demonstrator) developed under WP20 - Workflow Processing. It builds on Year 1 outputs D19.1, which provided the initial demonstrator and architectural approach for using RO-Crates and workflow technologies in TREs. In Year 2, the Demonstrator has matured into a fully deployable, federated prototype and demonstrated its capacity to run a cross-TRE “data pooling” federated analysis between TRE-FX (UNOTT) and TRE-BSC. The Year 2 focus has been on improving deployment realism while enabling Five Safes–compliant executions, strengthening provenance, and enhancing federated interoperability. Development efforts centred around: Adopting Five Safe TES principles, enabling policy-aware task execution across TREs using a common GA4GH TES interface. Deployment of the Demonstrator in two ENTRUST TREs, aligning execution semantics across sites. A production-ready RO-Crate Validation Service, supporting SHACL-based validation. Enhancements to WfExS and Five Safe TES tooling for secure secrets handling within TREs Validation of the Demonstrator in Driver use cases Through these improvements, WP20 now provides a demonstrator capable of federated, provenance-rich, policy-aware execution, consistent with the Five Safes principles and usable by TREs with heterogeneous compute backends. The demonstrator provides a technical foundation for further alignment with WP18 (AAAI) on accountability capture, and integrates with ongoing UK efforts such as DARE UK TREvolution.
Authors
- James Mitchell (ORCID: https://orcid.org/0000-0003-2818-8538)
- Jonathan Couldridge (ORCID: https://orcid.org/0000-0003-4054-1146)
- Laia Codó
- Eli Chadwick
- Stian Soiland-Reyes
Institutions
- University of Nottingham (GB)
- Barcelona Supercomputing Center (ES)
- University of Manchester (GB)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-19
- DOI
- https://doi.org/10.5281/zenodo.18299760
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00