Should Experimental Results Be Reproducible?

In data science, replicability and reproducibility are some of the keys to data integrity. ... This means if an experiment is reproducible, it is not necessarily replicable. This is because you can reproduce an experiment even when other methods were used, so long as you achieve the same results.

What does it mean if results from an experiment are reproducible?

For the findings of a study to be reproducible means that results obtained by an experiment or an observational study or in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.

Why should research be reproducible?

By ensuring research is reproducible it demands the raw data be made available and helps others make full analyses, which are not biased by previous ones. Reproducibility allows for the important part of data analysis not to be missed.