Does anyone have experience / data on the most common mistakes that lead to non-reproducible code?
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@HeidiSeibold not related to mistakes, but to avoid them: a couple years ago there was published [an interesting guide](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007358) mainly related to pipelines to analyze neuroimaging data. However, I think the general concepts apply to many other fields.
