How to run a research project for reproducibility
You might be asking, gentle reader: how to adopt this praxis of reproducibility in your project, or in your lab? Start by making a public commitment to reproducible research—what this means for you could differ from others, but an essential core is common to all. Transparency is an all-important value, and embracing open science is the best route to realize it. Onboarding every lab member with a deliberate group “syllabus” for reproducibility sets the expectations high. Compile a list of must-read literature on reproducible research; I can share mine with you: my lab members helped to make it \citep*{barba2016}. For collaborating efficiently and building community, take inspiration from the open-source world, adopt its technology platforms to work on software and to communicate, openly and collaboratively. Key to the open-source culture is to give credit—give lots of credit for every contribution: code, documentation, tests, issue reports! The tools and methods require training, but running a project or lab for reproducibility is your decision. Start taking leadership in building up the ethical commitments in your research group, and your professional communities. Then take chances doing more, raising your standards of quality in research software, data curation, and open science.