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How reproducible should research software be?

Sam Harrison; Abhishek Dasgupta; Simon Waldman; Alex Henderson; Christopher Lovell


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    <dct:title>How reproducible should research software be?</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dcat:keyword>reproducibility</dcat:keyword>
    <dcat:keyword>research software</dcat:keyword>
    <dcat:keyword>software sustainability</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-05-14</dct:issued>
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    <dct:description>&lt;p&gt;In this article, we attempt to answer the question of how reproducible research software should be by defining four levels of reproducibility, suggesting criteria to help you decide which level your research software should be at, and recommending practices to reach these levels of reproducibility. The article is the result of a discussion session at the Software Sustainability Institute Fellows Online Selection Day 2021.&lt;/p&gt;</dct:description>
    <dct:description>{"references": ["Wilson et al (2017). Good enough practices in scientific computing. doi: 10.1371/journal.pcbi.1005510", "Lee et al (2021). Barely sufficient practices in scientific computing. doi: 10.1016/j.patter.2021.100206", "McArthur (2019). Repeatability, Reproducibility, and Replicability: Tackling the 3R challenge in biointerface science and engineering. doi: 10.1116/1.5093621"]}</dct:description>
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