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2 Publications visible to you, out of a total of 2
EuroScienceGateway D2.1: Reproducible FAIR Digital Objects for Workflows

Abstract (Expand)

This EuroScienceGateway report gives an overview of FAIR Digital Objects (FDO), considering their use for computational workflows as scholarly objects. EuroScienceGateway has progressed 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, José M. Fernández, Björn Grüning, Hakan Bayındır

Date Published: 2024

Publication Type: Tech report

FAIR Computational Workflows

Abstract (Expand)

ional workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. They can … inherently contribute to the FAIR data principles: by processing data according to established metadata; by creating metadata themselves during the processing of data; and by tracking and recording data provenance. These properties aid data quality assessment and contribute to secondary data usage. Moreover, workflows are digital objects in their own right. This paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps, their provenance, and their development.

Authors: Carole Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes, Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, Daniel Schober

Date Published: 2020

Publication Type: Journal

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