While computational reproducibility in scientific research is generally expected when the original data and code are available, lack of ability to replicate a previous study—or obtain consistent results looking at the same scientific question but with different data—is more nuanced and occasionally can aid in the process of scientific discovery, says a new congressionally mandated report from the National Academies of Sciences, Engineering, and Medicine. Reproducibility and Replicability in Science recommends ways that researchers, academic institutions, journals, and funders should help strengthen rigor and transparency in order to improve the reproducibility and replicability of scientific research.
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