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.

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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

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article

Facilitating Reproducible In Silico Experiments with openCARP: A Step toward FAIR and Open Science in Cardiac Electrophysiology

Jorge Sánchez, Gernot Plank, Aurel Neic, Matthias A. F. Gsell et al.
Computing in cardiology
Advanced MRI Techniques and Applications
article

Facilitating Reproducible In Silico Experiments with openCARP: A Step toward FAIR and Open Science in Cardiac Electrophysiology

Jorge Sánchez, Gernot Plank, Aurel Neic, Matthias A. F. Gsell, Axel Loewe, Gunnar Seemann, Edward J. Vigmond, Anton J. Prassl, Marie Houillon
article en

Abstract

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.

Computing in cardiologyVol. 51
European Commission, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 60%
Advanced MRI Techniques and Applications
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