Facilitating Reproducible In Silico Experiments with openCARP: A Step toward FAIR and Open Science in Cardiac Electrophysiology
While the philosophy of Open Science advocates accessibility and reusability of scientific outcomes, it can be challenging to apply these principles in computational studies, as research software is by nature modular and changing over time.This work aims to make it easy for researchers to create cardiac electrophysiology in silico experiments that can be shared and reproduced by other researchers, as well as published in persistent research data repositories.For this purpose, we have implemented a feature in the openCARP cardiac electrophysiology simulation ecosystem, which allows users to create self-contained simulation bundles in a standardized structured format with related metadata.These bundles can then easily be shared and run on other platforms.A service for releasing experiments on the persistent research data repository RADAR is also provided.Thanks to this bundle feature, several openCARP simulation workflows were released in persistent research repositories already cited in subsequent publications.We believe that this tool will help promoting good practices in computational research by facilitating the publication of simulation workflows in accordance with the Open Science principles.
Authors
- Jorge Sánchez (ORCID: https://orcid.org/0000-0002-0824-2691)
- Gernot Plank (ORCID: https://orcid.org/0000-0002-7380-6908)
- Aurel Neic (ORCID: https://orcid.org/0000-0002-5192-1307)
- Matthias A. F. Gsell (ORCID: https://orcid.org/0000-0001-7742-8193)
- Axel Loewe (ORCID: https://orcid.org/0000-0002-2487-4744)
- Gunnar Seemann (ORCID: https://orcid.org/0000-0001-7111-7992)
- Edward J. Vigmond (ORCID: https://orcid.org/0000-0003-1388-3589)
- Anton J. Prassl (ORCID: https://orcid.org/0000-0002-1920-1377)
- Marie Houillon
Publication Details
- Journal
- Computing in cardiology
- Published
- 2024-12-01
- DOI
- https://doi.org/10.22489/cinc.2024.232
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Deutsche Forschungsgemeinschaft