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  • Christopher D. Chambers
Instead of "playing the game" it is time to change the rules: Registered Reports at AIMS Neuroscience and beyond
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The last ten years have witnessed increasing awareness of questionable research practices (QRPs) in the life sciences, including p-hacking, HARKing, lack of replication, publication bias, low statistical power and lack of data sharing (see Figure 1). Concerns about such behaviours have been raised repeatedly for over half a century but the incentive structure of academia has not changed to address them. Despite the complex motivations that drive academia, many QRPs stem from the simple fact that the incentives which offer success to individual scientists conflict with what is best for science. On the one hand are a set of gold standards that centuries of the scientific method have proven to be crucial for discovery: rigour, reproducibility, and transparency. On the other hand are a set of opposing principles born out of the academic career model: the drive to produce novel and striking results, the importance of confirming prior expectations, and the need to protect research interests from competitors. Within a culture that pressures scientists to produce rather than discover, the outcome is a biased and impoverished science in which most published results are either unconfirmed genuine discoveries or unchallenged fallacies. This observation implies no moral judgement of scientists, who are as much victims of this system as they are perpetrators.

Subject:
Life Science
Psychology
Material Type:
Reading
Provider:
AIMS Neuroscience
Author:
Christopher D. Chambers
Eva Feredoes
Peter Etchells
Suresh Daniel Muthukumaraswamy
Date Added:
08/07/2020
A consensus-based transparency checklist
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We present a consensus-based checklist to improve and document the transparency of research reports in social and behavioural research. An accompanying online application allows users to complete the form and generate a report that they can submit with their manuscript or post to a public repository.

Subject:
Psychology
Material Type:
Reading
Provider:
Nature Human Behaviour
Author:
Agneta Fisher
Alexandra M. Freund
Alexandra Sarafoglou
Alice S. Carter
Andrew A. Bennett
Andrew Gelman
Balazs Aczel
Barnabas Szaszi
Benjamin R. Newell
Brendan Nyhan
Candice C. Morey
Charles Clifton
Christopher Beevers
Christopher D. Chambers
Christopher Sullivan
Cristina Cacciari
Daniel Benjamin
Daniel J. Simons
David R. Shanks
Debra Lieberman
Derek Isaacowitz
Dolores Albarracin
Don P. Green
D. Stephen Lindsay
Eric-Jan Wagenmakers
Eric Johnson
Eveline A. Crone
Fernando Hoces de la Guardia
Fiammetta Cosci
George C. Banks
Gordon D. Logan
Hal R. Arkes
Harold Pashler
Janet Kolodner
Jarret Crawford
Jeffrey Pollack
Jelte M. Wicherts
John Antonakis
John Curtin
John P. Ioannidis
Joseph Cesario
Kai Jonas
Lea Moersdorf
Lisa L. Harlow
Marcus Munafò
Mark Fichman
M. Gareth Gaskell
Mike Cortese
Mitja D. Back
Morton A. Gernsbacher
Nelson Cowan
Nicole D. Anderson
Pasco Fearon
Randall Engle
Robert L. Greene
Roger Giner-Sorolla
Ronán M. Conroy
Scott O. Lilienfeld
Simine Vazire
Simon Farrell
Šimon Kucharský
Stavroula Kousta
Ty W. Boyer
Wendy B. Mendes
Wiebke Bleidorn
Willem Frankenhuis
Zoltan Kekecs
Date Added:
08/07/2020
A manifesto for reproducible science
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CC BY
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Improving the reliability and efficiency of scientific research will increase the credibility of the published scientific literature and accelerate discovery. Here we argue for the adoption of measures to optimize key elements of the scientific process: methods, reporting and dissemination, reproducibility, evaluation and incentives. There is some evidence from both simulations and empirical studies supporting the likely effectiveness of these measures, but their broad adoption by researchers, institutions, funders and journals will require iterative evaluation and improvement. We discuss the goals of these measures, and how they can be implemented, in the hope that this will facilitate action toward improving the transparency, reproducibility and efficiency of scientific research.

Subject:
Social Science
Material Type:
Reading
Provider:
Nature Human Behaviour
Author:
Brian A. Nosek
Christopher D. Chambers
Dorothy V. M. Bishop
Eric-Jan Wagenmakers
Jennifer J. Ware
John P. A. Ioannidis
Katherine S. Button
Marcus R. Munafò
Nathalie Percie du Sert
Uri Simonsohn
Date Added:
08/07/2020