从公平到治愈:生物系统计算模型指南
Herbert M Sauro1,2, Eran Agmon3, Michael L Blinov3
1Department of Bioengineering, University of Washington, Seattle, 98195-5061, WA, USA.
ArXiv
|March 4, 2025
概括
新的CURE原则 (可信,可理解,可复制,可扩展) 为科学模型提供了指导方针,补充了FAIR数据原则. 这些提高了计算模型在研究中的可信度和影响.
科学领域:
- 计算生物学是一种计算生物学.
- 生物医学建模模型
- 系统生物学 系统生物学
背景情况:
- 科学数据管理遵循FAIR原则 (可查找,可访问,可互操作,可重复使用).
- 计算模型对于科学进步至关重要,特别是在生物学和医学领域.
- 现有的数据准则并不完全满足科学模型的独特需求.
研究的目的:
- 提出CURE原则 (可信,可理解,可复制,可扩展) 作为科学模型的补充指南.
- 提高计算模型的可靠性和影响,特别是在生物医学应用中.
- 倡导一种更有纪律的科学建模方法.
主要方法:
- 定义了四个CURE原则:可信,可理解,可重现和可扩展.
- 每个CURE原则的详细要求,包括验证,验证,不确定性量化,描述的清晰度,遵守标准和使用开放标准.
- 概述了实施CURE原则的建议和基线要求.
主要成果:
- CURE原则为管理科学模型提供了一个框架.
- 提供了具体的建议,以确保模型的可信性,可理解性,可复制性和可扩展性.
- 拟议的指导方针旨在提高计算模型的影响力和可靠性.
结论:
- 计算模型需要专门的管理准则,如CURE原则.
- 采用CURE原则将提高科学模型的可靠性和可重复使用性.
- 建议实施CURE指南的自动化,以促进社区采用.
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