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Reproducibility S


cience has been described as the systematic and logical process applied to the discovery of how things work and affect us all. Its results contribute to an ever-growing body


of knowledge, information and data that can be used in the development of materials, therapies, etc that can bring benefit to society. It moves forward through the development of theories and the subsequent testing of a theory through experimentation. Being able to confirm a scientific theory by


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repeating experimentation has a long history of being a basic tenet of scientific discovery. There have, however, been a number of concerns expressed over the years about its validity. According to researchers at the University


of Idaho, reported in the journal PLOS ONE, reproducible scientific results are not always true and true scientific results are not always reproducible (journals.plos.org/plosone/ article?id=10.1371/journal.pone.0216125). The researchers investigated the relationship


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between reproducibility and the discovery of scientific truths by building a mathematical model that represents a scientific community working towards finding a scientific truth. Reproducibility, the independent confirmation of scientific results, is generally considered to add credibility to a researcher’s conclusion. But today there is what many have called a replication crisis, with researchers finding that the results of many well-known scientific experiments cannot be reproduced.


This crisis is not a new phenomenon. Back in 2006, a report by UNICEF highlighted that researchers have seen reproducibility become ‘a weapon in many of the attacks against science. Reproducibility is seen as part of science when it is defined in part as being ‘testable against the empirical world’, according to the US legal system. Consistently holding up to repeated testing is generally seen as a necessary component of science.


In a 2016 survey by the science publication


Nature, more than half of scientists called the problem of reproducibility a ‘significant crisis’ (nature.com/news/1-500-scientists-lift-the-lid- on-reproducibility-1.19970). At that time it was suggested that around half of preclinical research appeared to be unreproducible. This concern led to an increase in published studies on reproducibility, up from 100/year in 1990 to over 300 in 2016. Most recently it has resulted in the study at the University of Idaho. As the lead author of the Idaho study, Berna Devezer, an associate professor of marketing in the


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university’s College of Business and Economics, pointed out: ‘Over the last decade, people have focused on trying to find remedies for the “replication crisis”. But proposals for remedies are being accepted and implemented too fast without solid justifications to support them. ‘We need a better theoretical understanding


of how science operates before we can provide reliable remedies for the right problems. Our model is a framework for studying science.’ But one of the key problems is there are


many interpretations of what reproducibility actually means. Does it mean the methods of the experiment can be reproduced? Or does it mean that two different groups of researchers analysing the same data would come to the same conclusion? Also is there a difference between reproducibility and replicability? Reproducibility depends upon the degree of


agreement between the results of experiments conducted by different individuals, at different locations, using different equipment. Effectively, this shows whether the study or experiment can be reproduced in its entirety. For repeatability or replicability, it is generally


considered to involve the same location, the same measurement procedure, the same person, the same measuring instrument, used under the same conditions, with repetition over a short period of time.


The US National Science Foundation,


for example, has been reported as defining replicability or repeatability as ‘the ability of a researcher to duplicate the results of a prior study if the same procedures are followed but new data are collected’. It is clear that in both cases there is an opportu-


nity for different results to be recorded. This may be due to environmental conditions, variations in the materials used, and a host of other variables. One outcome of the generation of different results can be a drive to conduct further investigations For this reason, scientific findings often report


reproducibility and repeatability as standard deviations. This can, of course, assist in the further development of the existing experiments, with a resulting improvement in the reproducibility and repeatability. The testing and evaluation of scientific discoveries forms the bedrock for the commercialisation of these discoveries that have brought astounding developments for society. But these developments rely on sound science that can be demonstrated reproducibly.


© Society of Chemical Industry 2019 ISSN [print] 0009-3068. ISSN [online] 2047-6329 Views expressed in this issue do not necessarily reflect those of SCI or C&I


4 06 | 2019


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