  Science has a data management problem, as well as a project management
problem. While industry data science teams have embraced the agile mindset, and
adopted or created all kind of tools to create reproducible workflows,
academia-based science is still (mostly) mired in a mindset that's focused on a
single final product (a paper), without focusing on incremental improvement
and, over all, reproducibility. In this report we argue towards the adoption of
the agile mindset and agile data science tool in academia, to make a more
responsible, and over all, reproducible science.
