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Topics Covered
- The process of preregistration and registered reporting in scientific publications
- Impact on research transparency and credibility
- Promoting interdisciplinary work
- Common misconceptions
Biography
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Talk Citation
Ernst-Rasmussen, P.B. (2025, March 31). The role of preregistration and registered reports in improving research transparency and reproducibility [Audio file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved April 4, 2025, from https://doi.org/10.69645/BXQA6966.Export Citation (RIS)
Publication History
- Published on March 31, 2025
Financial Disclosures
- Dr. Peter Bonde Ernst-Rasmussen has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.
Audio Interview
The role of preregistration and registered reports in improving research transparency and reproducibility
Published on March 31, 2025
21 min
Other Talks in the Playlist: Research and Clinical Interviews
Transcript
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0:00
Interviewer: Dr.
Peter Rasmussen,
thank you for joining us today.
In this interview, we
would like to discuss
preregistration and
registered reports as
a framework to improve
transparency and credibility
in scientific research.
You and your colleagues at
the Editorial Board of the Journal of
Experimental Physiology recently marked
the first registered report
in the field of physiology to
have both its protocol and its results
published in the same journal.
Could you begin by explaining
the process of
preregistration and
registered reporting in
scientific publications?
Dr. Ernst-Rasmussen:
Yes, certainly.
There are two steps
to the process.
One is preregistration and
one is the registered reporting.
The definition of the
preregistration is that
it needs to publish
a detailed research
plan of the study,
that includes the hypothesis,
the methodology, and
the analysis plan.
All those points that
you typically report before
the data collection begins.
You can do that
in multiple ways.
There are platforms out there as
we mentioned in the paper,
like OSF AsPredicted,
and if you're running
a larger study,
you can also do this
at clinicaltrials.gov.
As I mentioned,
the components are
hypothesis, design,
how you collect your data,
and what analysis
you have planned.
The idea of doing that is that
then you have the possibility,
later on in the whole process,
to distinguish between
what has been hypothesized
and tested a priori and
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