BIS’2016 – Day 2: Parallel Working Sessions – Coding Sprint: Easing the Access to Neuroimaging Datasets for Large-scale Analysis

Coding Sprint: Easing the Access to Neuroimaging Datasets for Large-scale Analysis

Room to be confirmed

Session Chair: Bertrand Thirion

Overview:

Cerebral activity modelling PARIETAL Team © Inria / Photo H. Raguet

Cerebral activity modeling
© Inria / Photo H. Raguet

The development and quality of neuroscience research depends on the quality of analysis tools and thus on the quality of data analysis software packages. In a neuroimaging laboratory, 80% of a PhD student or post-doc work is spent analyzing data using various software packages. Improving tools is a major challenge in this field. With the size of available data increasing, the future of this field depends more and more on the quality of software packages and their ability to scale.

In this coding sprint, we want to improve the coordination of the software development for neuroimaging, by taking into account the  novel standards (BIDS) partly set up by the partners of the MetaMRI, that should facilitate the access to and analysis of neuroimaging datasets. We would like to prepare the ground for large-scale analyses across different labs.

Session Web page available here: https://github.com/nilearn/nilearn/wiki/June-2016-Sprint

Agenda:

08:30 Registration

09:00-12:00 Coding sprint with coffee break at 10:30

12:00-14:00 Lunch Break at “Autour d’un Grill” restaurant, 145 Avenue Daumesnil, 75012 Paris

14:00-17:00 Coding sprint continue with coffee break at 15:30