The Methods & Data facility at Campus Biotech aims at promoting open and reproducible science with three main goals: helping to design robust data analysis pipelines, fostering knowledge transfer through courses and methods meetings, and encouraging cross-pollination of ideas via dedicated events.

Reproducibility is put forward via the creation of automated and reusable pipelines, with analyses ranging from raw data pre-processing to statistical and machine learning evaluations. These pipelines are designed according to the latest neuroimaging standards. The associated code and data are managed and structured so that to satisfy all criteria typically requested by large grants and top journals, the great majority of which favor open & reproducible research.

Knowledge transfer, from standard tools to novel methods, is supported in two ways. First, a NeuroImaging Data Science (NIDS) course aims at providing all researchers with the same set of computing skills to enable them to leverage a maximum of existing tools and neuroimaging libraries. Second, methods meetings are to be organized on a regular basis to share a group’s specialized approach among researchers at Campus Biotech.

One of the aim of open science is to also facilitate interdisciplinarity and accessibility. One way to target this goal is by organizing events bringing together people of different backgrounds and expertise. Hackathons (coding-marathons lasting several days during which groups work on a variety of projects) are organized once to twice a year. They are open to data scientists from different fields, and beyond researchers, to anyone interested in the proposed neuroscience projects.