dc.contributor.author | Gundersen, Odd Erik | |
dc.date.accessioned | 2021-10-28T07:18:13Z | |
dc.date.available | 2021-10-28T07:18:13Z | |
dc.date.created | 2021-08-05T15:36:43Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 1364-503X | |
dc.identifier.uri | https://hdl.handle.net/11250/2826147 | |
dc.description.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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | The Royal Society | en_US |
dc.title | The fundamental principles of reproducibility | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | The published version of the article will not be available due to copyright restrictions by The Royal Society | en_US |
dc.source.volume | 379 | en_US |
dc.source.journal | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences | en_US |
dc.source.issue | 2197 | en_US |
dc.identifier.doi | https://doi.org/10.1098/rsta.2020.0210 | |
dc.identifier.cristin | 1924200 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |