Research highlights that better metadata drives reproducibility in experimental methods, suggesting enhanced transparency and sharing.
Researchers are adopting new tools that create consistency and shareability in their experimental methods. Increasingly, these are viewed as key components in driving reproducibility and replicability. They provide transparency in reporting key methodological and analytical information.
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Jennifer Lin (2017) studied this question.
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