Ten simple rules for good model-sharing practices.

Area of Science:

• Computational Science and Modeling
• Interdisciplinary Research

Background:

• Computational models are vital tools for understanding complex systems.
• Their value extends across various scientific disciplines.
• Current practices for sharing these models lack standardization.

Purpose of the Study:

• To propose standardized guidelines for sharing computational models.
• To facilitate 'good enough' model sharing practices.
• To empower the scientific community to improve model-sharing standards.

Main Methods:

• Development of 10 practical rules for model sharing.
• Focus on actionable steps for researchers.
• Emphasis on enabling collaborative improvement of practices.

Main Results:

• A set of 10 simple, actionable rules for sharing computational models.
• Guidelines designed to be immediately applicable.
• A framework to encourage community-driven advancements in model sharing.

Conclusions:

• Adopting these 10 rules can significantly improve the accessibility and reusability of computational models.
• Standardized model sharing enhances scientific collaboration and reproducibility.
• Researchers are encouraged to implement these rules to foster a culture of open science.