The fundamental principles of reproducibility
The fundamental principles of reproducibility
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DOI：
10.1098/rsta.2020.0210
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发表时间：
2021-05-17
期刊：
影响因子：
5
通讯作者：
Gundersen, Odd Erik
中科院分区：
文献类型：
--
作者：
Gundersen, Odd Erik
再现性是一个令人困惑的术语。在本文中，我对植根于科学方法的可重复性持基本观点。对科学方法进行分析和表征，以开发定义再现性所需的术语。此外，还调查了有关再现性和重复性的文献，并将实验建模为任务和问题解决方法。机器学习用于举例说明所描述的方法。根据分析，定义了再现性，并指定了三种不同程度的再现性以及四种类型的再现性。本文是主题“计算科学中的可靠性和再现性：在计算机中实现验证、确认和不确定性量化”的一部分。
Reproducibility is a confused terminology. In this paper, I take a fundamental view on reproducibility rooted in the scientific method. The scientific method is analysed and characterized in order to develop the terminology required to define reproducibility. Furthermore, the literature on reproducibility and replication is surveyed, and experiments are modelled as tasks and problem solving methods. Machine learning is used to exemplify the described approach. Based on the analysis, reproducibility is defined and three different degrees of reproducibility as well as four types of reproducibility are specified. This article is part of the theme issue 'Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico'.