[allenofthehills]

> The software was "reproducible" in that the same starting conditions produced the same output, but that didn't mean the _science_ was reproducible, as every study used the same software.

This is the difference between reproducibility and replicability [1]. Reproducibility is the ability to run the same software on the same input data to get the same output; replication would be analyzing the same input data (or new, replicated data following the original collection protocol) with new software and getting the same result.

I've experienced the same lack of interest with established researchers in my field, but I can at least ensure that all my studies are both reproducible and replicable by sharing my code and data.

[1] Plesser HE. Reproducibility vs. Replicability: A Brief History of a Confused Terminology. Front Neuroinform. 2018;11:76.