Neil Chue Hong comments on sharing code and reproducibility in Nature

Press/Media: Expert Comment

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Expert comment on article about reproducibility of modelling code in Nature.

Although some journals now ask peer reviewers to rerun and verify code, sharing it publicly is still far from an academic norm. The amount of time researchers have to spend either helping people use their software or refuting claims stemming from its misuse is a “big worry” among many academics, says Neil Chue Hong, founding director of the Software Sustainability Institute in Edinburgh. “There are ways you can run the code that mean you won’t get sensible results, but the researchers who use the code know what those ways are,” he says. “It’s like you or me being given a Formula One racing car, and being surprised when it crashes when it goes around the first corner.”

Period8 Jun 2020

Media contributions

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Media contributions

  • TitleCritiqued coronavirus simulation gets thumbs up from code-checking efforts
    Degree of recognitionInternational
    Media name/outletNature
    Media typeWeb
    CountryUnited Kingdom
    Date8/06/20
    DescriptionInfluential model judged reproducible — although software engineers called its code 'horrible' and 'a buggy mess'.
    Producer/AuthorDalmeet Singh Chawla
    PersonsNeil Chue Hong