Reproducible research at the Turing

Reproducibility ensures that the wider academic, industry and governmental communities we operate in can easily validate, replicate and build on the work we produce. This session will empower you - the people actually doing the analyses - to position the Turing Institute as a world leader in reproducible research. We will start by defining "reproducible research" and "open science" (and discuss the difference between those two). We will introduce you to the Alan Turing Institute organisation on GitHub and give a very brief overview of the benefits of the platform for version control and collaborative working. You will leave having completed your first pull request and knowing who to ask when you have questions about reproducibility at the Turing.