2018 ReproducibilityVsReplicabilityA

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Subject Headings: Research Reproducibility; Methods Reproducibility; Results Reproducibility; Inferential Reproducibility

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Abstract

A cornerstone of science is the possibility to critically assess the correctness of scientific claims made and conclusions drawn by other scientists. This requires a systematic approach to and precise description of experimental procedure and subsequent data analysis, as well as careful attention to potential sources of error, both systematic and statistic. Ideally, an experiment or analysis should be described in sufficient detail that other scientists with sufficient skills and means can follow the steps described in published work and obtain the same results within the margins of experimental error. Furthermore, where fundamental insights into nature are obtained, such as a measurement of the speed of light or the propagation of action potentials along axons, independent confirmation of the measurement or phenomenon is expected using different experimental means. In some cases, doubts about the interpretation of certain results have given rise to new branches of science, such as Schrödinger's development of the theory of first-passage times to address contradictory experimental data concerning the existence of fractional elementary charge (Schrödinger, 1915).

Experimental scientists have long been aware of these issues and have developed a systematic approach over decades, well-established in the literature and as international standards.

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Together with some colleagues, I proposed similar definitions some years ago (Crook et al., 2013). The different terminologies are summarized in Table 1.

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References

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2018 ReproducibilityVsReplicabilityAHans E. PlesserReproducibility Vs. Replicability: A Brief History of a Confused Terminology10.3389/fninf.2017.000762018