Registration has been proposed as a possible solution to the reproducibility crisis in scientific research. In its more than 20 years of practice in biomedical research, registration has been valuable — but it is still largely limited to clinical trials, and its implementation is still largely inconsistent.
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Acknowledgements
We thank the National Library of Medicine and the open source community for creating the open data and tools that made this work possible. We are also grateful to D. Zarin for helpful discussions. No dedicated funding was received. S.S. has been funded by the Department of Epidemiology and Population Health at Stanford University and as a scholar of the Stanford Data Science Initiative. C.A. has received funding from Uppsala University, Swedish Society of Medicine, Blanceflor Foundation, and Sweden-America Foundation.
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S.S. contributed to conceptualization, data curation, formal analysis, investigation, methodology, software (creation of algorithms for conflicts of interest, funding and registration; modification of algorithms for data and code sharing), validation, visualization and writing (original draft). C.A. contributed to conceptualization, data curation, formal analysis, investigation, methodology, validation and visualization. J.P.A.I. contributed to conceptualization, methodology, project administration and supervision. All authors contributed to writing (review and editing). Reported as per CRediT (Contributor Roles Taxonomy) guidelines.
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Serghiou, S., Axfors, C. & Ioannidis, J.P.A. Lessons learnt from registration of biomedical research. Nat Hum Behav 7, 9–12 (2023). https://doi.org/10.1038/s41562-022-01499-0
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DOI: https://doi.org/10.1038/s41562-022-01499-0
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