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Related Experiment Video

Updated: Jun 13, 2025

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents

Recording and Analysis of Circadian Rhythms in Running-wheel Activity in Rodents

Published on: January 24, 2013

Recording provenance of workflow runs with RO-Crate.

Simone Leo¹, Michael R Crusoe^2,3,4, Laura Rodríguez-Navas⁵

¹Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Pula (CA), Italy.

|September 10, 2024

Summary

This summary is machine-generated.

Workflow Run RO-Crate enhances scientific computation by capturing workflow execution provenance. This interoperable model ensures traceability and reproducibility across diverse systems, improving data quality assessment.

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Area of Science:

Computational Science
Data Management
Scientific Reproducibility

Background:

Tracking scientific computation results is crucial for data traceability, reproducibility, and quality assessment.
Existing data models for workflow provenance lack interoperable adoption across different workflow management systems.
There is a need for a standardized, interoperable approach to capture and share computational workflow provenance.

Purpose of the Study:

To introduce Workflow Run RO-Crate, an extension of RO-Crate and Schema.org, for capturing computational workflow execution provenance.
To provide a model that bundles workflow inputs, outputs, code, and other associated objects.
To facilitate interoperable comparisons between workflow runs from heterogeneous systems.

Main Methods:

Developed Workflow Run RO-Crate, extending RO-Crate (Research Object Crate) and Schema.org.
Ensured alignment with W3C PROV standards for provenance.
Implemented the model in six different workflow management systems.
Validated the model through two machine learning use cases in digital image analysis.

Main Results:

Workflow Run RO-Crate enables capturing provenance at various granularity levels.
The model successfully bundles all associated workflow objects.
Interoperable comparisons between workflow runs from heterogeneous systems are now possible.
Successful implementation across six workflow systems demonstrates broad applicability.

Conclusions:

Workflow Run RO-Crate offers a standardized and interoperable solution for capturing computational workflow provenance.
The model supports enhanced traceability, reproducibility, and quality assessment of scientific data products.
Its adoption by multiple workflow systems and demonstrated use cases highlight its practical value in scientific research.