Reproducibility is "obtaining consistent results using the same input data; computational steps, methods, and code; and conditions of analysis" (National Academies of Sciences, Engineering, and Medicine. 2019. Reproducibility and Replicability in Science. Washington, DC: The National Academies Press. https://doi.org/10.17226/25303).

The editors of the scientific journal Bulletin of Cherkasy University. Series: Applied Mathematics. Informatics encourages authors to submit data sets and research methodology in the most reproducible manner.