Ten simple rules for good model-sharing practices

Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models. This paper suggests 10 simple rules for you to both (i) ensure you share models in a way that is at least "good enough," and (ii) enable others to lead the change towards better model-sharing practices.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-01-10
DOI
https://doi.org/10.1371/journal.pcbi.1012702
Citations
5
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
20.84

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Ten simple rules for good model-sharing practices

Jason A. Papin, Carsten Lemmen, Ismael Kherroubi Garcia, Natalie Meyers et al.
5 citations
PLoS Computational Biology
Scientific Computing and Data Management
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Ten simple rules for good model-sharing practices

Jason A. Papin, Carsten Lemmen, Ismael Kherroubi Garcia, Natalie Meyers, C. Michael Barton, Matthew Buys, Lauren Cadwallader, Kathryn Knight, Qing Zhan, Paolo Brenner, Yuhan Rao, Geerten Hengeveld, Melissa Harrison, Feilim Mac Gabhann, Christine R. Kirkpatrick, Min Chen, Christine Osborne, Charlotte E. Till, Rebecca Ringuette, Christopher Erdmann, Sandra Gesing, Allen Lee
article en
5 citations

Abstract

Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon standards for sharing models. This paper suggests 10 simple rules for you to both (i) ensure you share models in a way that is at least "good enough," and (ii) enable others to lead the change towards better model-sharing practices.

PLoS Computational BiologyVol. 21(1)
University of Notre Dame (US), Public Library of Science (US), Oak Ridge National Laboratory (US), European Bioinformatics Institute (GB), Goddard Space Flight Center (US), North Carolina State University (US), Johns Hopkins University (US), Nanjing Normal University (CN), San Diego Supercomputer Center (US), Science for Life Laboratory (SE), University of California San Diego (US), University of Oxford (GB), Heliophysics (US), Royal Netherlands Institute for Sea Research (NL), Netherlands Institute of Ecology (NL), Helmholtz-Zentrum Hereon (DE), DataCite (DE), University of Virginia (US), Arizona State University (US)
Alfred P. Sloan Foundation
Openalex Percentile: Top 1%
Scientific Computing and Data Management
20.84
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