Publications

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3 Publications visible to you, out of a total of 3

Abstract (Expand)

Description This EuroScienceGateway report gives an overview of FAIR Digital Objects (FDO), considering their use for computational workflows as scholarly objects. EuroScienceGateway has progressed thed the technologies Signposting and RO-Crate for implementing Workflow FDOs with the registry WorkflowHub and the workflow system Galaxy, and initiated work with academic publishers to encourage workflow citation practices. Here we document how WorkflowHub supports research software best practices for workflows, and assist building FAIR Computational Workflows. Provenance of workflow executions has been made possible in an interoperable way across many workflow systems using Workflow Run Crate profiles, including from Galaxy. Finally this report explores how Workflow FDOs are exposed and can be utilised, e.g. gathered in knowledge graphs and having tighter workflow system integration.

Authors: Stian Soiland-Reyes, Eli Chadwick, Finn Bacall, Jose M. Fernandez, Björn Grüning, Hakan Bayındır

Date Published: 28th Aug 2024

Publication Type: Tech report

Abstract (Expand)

The concept of publishing workflows as scholarly is being recognised and practiced through repositories like WorkflowHub and principles for FAIR Computational Workflow. This deliverable describes how the evolving landscape of the European Open Science Cloud (EOSC) can facilitate workflow publishing in a federated and distributed manner, exemplified by how workflows for Galaxy are published.

Authors: Stian Soiland-Reyes, Eli Chadwick, Armin Dadras, Björn Grüning, Catalin Condurache, Sebastian Luna-Valero, Volodymyr Savchenko

Date Published: 8th Feb 2025

Publication Type: Tech report

Abstract (Expand)

Description The Workflowhub Knowledge Graph has been improved and its generation made more robust. When this work was last reported, a complete knowledge graph had been generated but several criticismsicisms were made. The previous graph was: - Verbose and hard for a human to read or navigate - Had unresolvable URIs as root data entities - Contained many duplicate entries - Contained sparse metadata from only a single source Work has successfully been undertaken to address all of these points. The graph now uses partially resolvable, more human readable, URIs for root data entities. Steps have been added to the generation software to add metadata from additional sources (enrichment) and to remove duplicate entries (consolidation). Several areas of the codebase have been refactored and improved, to help ensure repeatability and longevity. The new knowledge graph still has areas that could be improved. Partially resolvable URIs should be migrated to fully resolvable alternatives. Further enrichment processes should be added which affords greater de-duplication.

Authors: Eli Chadwick, Oliver Woolland, Volodymyr Savchenko, Finn Bacall, Alexander Hambley, José María Fernández González, Armin Dadras, Stian Soiland-Reyes

Date Published: 1st Aug 2025

Publication Type: Tech report

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