Instead of “playing the game” it is time to change the rules: Registered Reports at AIMS Neuroscience and beyond
Open accessAbstract
The last ten years have witnessed increasing awareness of questionable research practices (QRPs) in the life sciences [1,2], including p-hacking [3], HARKing [4], lack of replication [5], publication bias [6], low statistical power [7] and lack of data sharing ([8]; see Figure 1). Concerns about such behaviours have been raised repeatedly for over half a century [9–11] but the incentive structure of academia has not changed to address them. \nDespite 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 [12]. 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 [13]. This observation implies no moral judgement of scientists, who are as much victims of this system as they are perpetrators.
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Protocol registration has emerged as a mechanism that is likely to improve the transparency of animal research.
“Akin to the approach taken for clinical trials, protocol registration has emerged as a mechanism that is likely to improve the transparency of animal research [232,237,238].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [237]
The Conclusions (page unavailable) describe preregistration as growing in basic science and as an incentive for transparent practices. The discussion of clinical trial registration (page unavailable) also supports the analogy to clinical trials. The paper does not specifically establish that protocol registration improves transparency in animal research. (LLM, conf=0.83)
Experimental — accuracy not yet measuredIn the Registered Report format, protocols undergo peer review, and if accepted, the journal commits to publishing the completed research regardless of the results obtained.
“For example, in the Registered Report format offered by an increasing number of journals, protocols undergo peer review, and if accepted, the journal commits to publishing the completed research regardless of the results obtained [237].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [237]
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- Authors
- D. Chambers, C., 1 Cardiff University Brain Research Imaging Centre, S. O. P., Feredoes, E., D. Muthukumaraswamy, S., & J. Etchells, P.
- Affiliations
- University of Reading (GB)
- ORCID
- Feredoes, Eva
- Venue
- AIMS Neuroscience
- Published
- 2014
- Volume
- 1
- Issue
- 1
- Pages
- 4-17
- ISSN
- 2373-7972 (ISSN-L)
- OpenAlex
- W2072600048
- Cited by
- 213
- References
- 29
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 9 · 2023: 19 · 2022: 19 · 2021: 25 · 2020: 23 · 2019: 25 · 2018: 35 · 2017: 17 · 2016: 16 · 2015: 8 · 2014: 2
- FWCI
- 27.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- AIMS neuroscience (publishedVersion, cc-by)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Biotechnology and Biological Sciences Research Council (BB/K008277/1, BB/C519854/2)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- questionable research practices, p-hacking, HARKing, replication, publication bias, statistical power, data sharing, research incentives, reproducibility, transparency, brain research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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