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(US) Harvard Data Science Review explores reproducibility and replicability in science – EurekAlert (Amy Harris | December 2020)

Posted by Dr Gary Allen in Research Integrity on December 22, 2020
Keywords: Analysis, Data management, Journal, Publication ethics, Research integrity, Research results

The Linked Original Item was Posted On December 16, 2020

Close up of a dictionary definition of research

CAMBRIDGE, MA–December 16, 2020–In 2019, the National Academies of Science, Engineering, and Medicine (NASEM) published a consensus report for the US Congress–Reproducibility and Replicability in Science–which addressed a major methodological crisis in the sciences: The fact that many experiments and results are difficult or impossible to reproduce. The conversation about this report and this vital topic continues in a special, twelve-article feature in issue 2:4 of the Harvard Data Science Review (HDSR), publishing today.

This paper about the replication crisis in medicine and psychology includes some useful links.

Growing awareness of the replication crisis has rocked the fields of medicine and psychology, in particular, where famous experiments and influential findings have been cast into doubt. But these issues affect researchers in a wide range of disciplines–from economics to particle physics to climate science–and addressing them requires an interdisciplinary approach.

“The overall aim of reproducibility and replicability is to ensure that our research findings are reliable,” states HDSR Editor-in-Chief Xiao-li Meng in his editorial. “Reliability does not imply absolute truth–which is an epistemologically debatable notion to start with–but it does require that our findings are reasonably robust to the relevant data or methods we employ.”

Read the rest of this discussion piece

Related Reading

(US) Harvard Data Science Review explores reproducibility and replicability in science – EurekAlert (Amy Harris | December 2020)

Dear Peer Reviewer: Could you also replicate the experiments? Thanks – Retraction Watch (Dalmeet Singh Chawla | January 2017)

Why is the scientific replication crisis centered on psychology? – Statistical Modelling, Causal Inference, and Social Science (Andrew: September 2016)

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