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Animal Ethics Biosafety Human Research Ethics Research Integrity

Efficient Scientific Self-Correction in Times of Crisis (Books: Michèle B. Nuijten | October 2020)

Posted by Dr Gary Allen in Human Research Ethics, Research Integrity on October 24, 2020
Keywords: Biomedical, Clinical trial, Data management, Fraud, Human research ethics, Institutional responsibilities, Journal, Medical research, Peer review, Protection for participants, Publication ethics, Research integrity, Research results, Researcher responsibilities, Respect for persons

The Linked Original Item was Posted On September, 20 2020

COVID-19 heading

Abstract

Research at a frantic rush has its consequences and where there is no time or resources for replication, science’s usual self-correction doesn’t happen, potentially leaving dangerously flawed research out there causing harm.

Science has been invaluable in combating the COVID-19 pandemic and its consequences. However, science is not flawless: especially research that is performed and written up under high time pressure may be susceptible to errors. Luckily, one of the core principles of science is its ability to self-correct. Traditionally, scientific self-correction is achieved through replication, but this takes time and resources; both of which are scarce. In this chapter, I argue for an additional, more efficient self-correction mechanism: analytical reproducibility checks.

Tags
covid-19, crisis, reproducibility, scientific self-correction

This chapter was published as: Nuijten, M. B. (2020). Efficient scientific self-correction in times of crisis. In E. Aarts, H. Fleuren, M. Sitskoorn & T. Wilthagen (Ed.), The new common (pp. 165-169). Tilburg, The Netherlands.
Preprint DOI 10.31234/osf.io/9hc8z
Available online https://psyarxiv.com/9hc8z/

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COVID-19 research: pandemic versus “paperdemic”, integrity, values and risks of the “speed science” (Papers: Ricardo Jorge Dinis-Oliveira | April 2020)

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Self Correction: What to do when you realize your publication is fatally flawed (Papers: Kerry Grens 2015)

Too Much Information: Visual Research Ethics in the Age of Wearable Cameras (Tze Ming Mok, et al 2014)

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