Making your research reproducible means that you provide the entire workflow from data, through software and post-processing freely available. Not only can somebody repeat your experiments and verify them, they can build upon them. In lab-based disciplines, there are many further challenges, but in research that is predominantly based on data processing, this ought to be an achievable goal.
This is a companion discussion topic for the original entry at https://www.underworldcode.org/articles/alaska-moho-model-reproducible-research-with-containers/