The Reproducibility Crisis: ​Why We Need Better Research Practices

Reproducibility refers to the ability of other researchers to obtain the same results using the same methods and data as the original study. This is a crucial aspect of the scientific process because it allows other researchers to verify and build upon previous work. It ensures that the results of scientific research are reliable and can be trusted.

The reproducibility crisis is a serious problem that undermines the trustworthiness of scientific research and can lead to incorrect conclusions and even bad decisions. By being more transparent, providing support for reproducibility, and developing new tools and techniques, we can address the reproducibility crisis and improve the reliability and trustworthiness of scientific research.

This video was made by McMaster University students Mohammad Al-Ajolouni, Abdurahman Mohamed, and Madison Hunter in collaboration with the Demystifying Research McMaster Program.

Copyright McMaster University 2022

Music Credits

Corporate Soft by LesFM | https://lesfm.net/positive-background...
Music promoted by https://www.chosic.com/free-music/all/
Creative Commons CC BY 3.0
https://creativecommons.org/licenses/...

References

Fanelli, D. (2018). Is science really facing a reproducibility crisis, and do we need it to? Proceedings of the National Academy of Sciences, 115(11), 2628–2631. https://doi.org/10.1073/pnas.1708272114 ​

Samuel, S., & König-Ries, B. (2021). Understanding experiments and research practices for reproducibility: An exploratory study. PeerJ, 9. https://doi.org/10.7717/peerj.11140

Stupple, A., Singerman, D., & Celi, L. A. (2019, January 29). The reproducibility crisis in the age of Digital Medicine. Nature News. Retrieved November 28, 2022, from https://www.nature.com/articles/s4174... ​

Verdi, K. K., Ellis, H. J. C., & Gryk, M. R. (2007, January 30). Conceptual-level workflow modeling of scientific experiments using NMR as a case study - BMC Bioinformatics. BioMed Central. Retrieved November 28, 2022, from https://bmcbioinformatics.biomedcentr... ​