Trustworthy data underpin reproducible research
An article entitled "Trustworthy data underpin reproducible research" - coauthored by Martin Milton, Director of the BIPM, and Antonio Possolo, Chief Statistician, NIST - has recently been published in Nature Physics.
The paper presents three case studies from the world of precision measurement, and argues that the work of metrology provides a different way to think about discrepant data without calling it a "reproducibility crisis".
The paper has already been featured in a Nature Physics editorial published on 21 Feburary 2020 under the heading "When it's fine to fail – The history of metrology holds valuable lessons for initiatives to reproduce results." In this the Editor of Nature writes:
- When results in the science of measurement cannot be reproduced, argue Martin Milton and Antonio Possolo, it's a sign of the scientific method at work – and an opportunity to promote public awareness of the research process.
Read the editorial at:
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Trustworthy data underpin reproducible research
Nature Physics 16 (2020) 114-119