Reproducibility and FAIR Principles: The Case of a Segment Polarity Network Model.
1Center for Cell Analysis and Modeling and Department of Cell Biology, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
Arxiv
|May 3, 2023
Summary
This study demonstrates how to make computational models findable, accessible, interoperable, and reusable (FAIR) by using open source software and standard formats. Applying these principles ensures long-term reproducibility of scientific models.
Area of Science:
- Computational biology
- Systems biology
- Bioinformatics
Background:
- Reproducibility is a major challenge in computational modeling.
- The FAIR principles aim to improve model accessibility and reusability.
- Older models often become inaccessible due to software obsolescence.
Conclusions:
- Open source software, standard formats (SBML), and public repositories (BioModels) are crucial for achieving FAIRness.
- Implementing FAIR principles enhances the reproducibility and long-term value of computational cell biology models.
- This approach ensures models remain usable beyond the lifespan of specific software.
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