Ten simple rules for good model-sharing practices.

IF 3.8 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2025-01-10 eCollection Date: 2025-01-01 DOI:10.1371/journal.pcbi.1012702

Ismael Kherroubi Garcia, Christopher Erdmann, Sandra Gesing, Michael Barton, Lauren Cadwallader, Geerten Hengeveld, Christine R Kirkpatrick, Kathryn Knight, Carsten Lemmen, Rebecca Ringuette, Qing Zhan, Melissa Harrison, Feilim Mac Gabhann, Natalie Meyers, Cailean Osborne, Charlotte Till, Paul Brenner, Matt Buys, Min Chen, Allen Lee, Jason Papin, Yuhan Rao

引用次数: 0

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.

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好的模型共享实践的十条简单规则。

计算模型是一种复杂的科学结构，它对我们更好地理解世界至关重要。许多模型对学科边界内外的同行都很有价值。然而，对于共享模型，还没有一个被广泛认可的标准。本文为您建议了10条简单的规则：(i)确保您以至少“足够好”的方式共享模型，以及（ii）使其他人能够领导朝着更好的模型共享实践的变化。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY

CiteScore

7.10

自引率

4.70%

发文量

820

审稿时长

2.5 months

期刊介绍： PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.