Reproducibility
Definition: A minimum standard on a spectrum of activities (“reproducibility spectrum”) for assessing the value or accuracy of scientific claims based on the original methods, data, and code. For instance, where the original researcher’s data and computer codes are used to regenerate the results (Barba, 2018), often referred to as computational reproducibility. Reproducibility does not guarantee the quality, correctness, or validity of the published results (Peng, 2011). In some fields, this meaning is, instead, associated with the term âreplicabilityâ or ârepeatabilityâ.
Related terms: Computational reproducibility, Replicability, repeatability
References:
- Barba, L. A. (2018). Terminologies for reproducible research. arXiv Preprint arXiv:1802.03311.
- CrĂŒwell, S., van Doorn, J., Etz, A., Makel, M. C., Moshontz, H., Niebaum, J. C., Orben, A., Parsons, S., & Schulte-Mecklenbeck, M. (2019). Seven Easy Steps to Open Science: An Annotated Reading List. Zeitschrift FĂŒr Psychologie, 227(4), 237â248. https://doi.org/10.1027/2151-2604/a000387
- Peng, R. D. (2011). Reproducible Research in Computational Science. Science, 334(6060), 1226â1227. https://doi.org/10.1126/science.1213847
- Stodden, V. C. (2011). Trust your science? Open your data and code.
- Syed, M. (2019). The Open Science Movement is for all of us. PsyArXiv.
Originally drafted by: Mahmoud Elsherif
Reviewed by: Helena Hartmann, Annalise A. LaPlume, Tina B. Lonsdorf, Sam Parsons, Charlotte R. Pennington, Suzanne L. K. Stewart