Reproducibility, which is closely related to replicability and repeatability, is an important principle of the scientific method. For the results of a study to be reproducible, the results obtained in an experiment, observational study, or statistical analysis of a data set should be obtained again with a high degree of confidence when the study is replicated. There are different types of replication, but typically replication studies involve different researchers using the same methodology. Only after one or more such successful replications should a result be accepted as scientific knowledge.

More narrowly, reproducibility in the computational sciences has been defined as the following quality: the results should be documented by making all data and code available in such a way that the computations can be performed again with identical results.

In recent decades, there has been growing concern that many published scientific results fail the reproducibility test, leading to a reproducibility or replication crisis.

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