O. Gundersen. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379 (2197):
20200210(March 2021)
DOI: 10.1098/rsta.2020.0210
Abstract
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'.
%0 Journal Article
%1 Gundersen2021Fundamental
%A Gundersen, Odd Erik
%D 2021
%I Royal Society
%J Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
%K Auswahl,lesen,Other Field,Reproducibility Research
%N 2197
%P 20200210
%R 10.1098/rsta.2020.0210
%T The Fundamental Principles of Reproducibility
%V 379
%X 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'.
@article{Gundersen2021Fundamental,
abstract = {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'.},
added-at = {2024-01-29T00:52:52.000+0100},
author = {Gundersen, Odd Erik},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29a0db5ab92f9cd0ca3125db114a11039/hermann},
doi = {10.1098/rsta.2020.0210},
file = {/Users/sibyllehermann/Zotero/storage/JQADAP49/Gundersen - 2021 - The fundamental principles of reproducibility.pdf},
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journal = {Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences},
keywords = {Auswahl,lesen,Other Field,Reproducibility Research},
month = mar,
number = 2197,
pages = 20200210,
publisher = {{Royal Society}},
timestamp = {2024-01-29T00:52:52.000+0100},
title = {The Fundamental Principles of Reproducibility},
urldate = {2024-01-24},
volume = 379,
year = 2021
}