Mentors: Christine Rogers <christine.rogers@mcgill.ca> and Rolando Acosta <rolando.acosta@mcin.ca>
Skill level: Advanced
Required skills: Strong coding foundation, typically in python or javascript or unix-based experience. Some knowledge of psychology/science research, databasing or imaging is an asset.
Time commitment: Flexible (175/350 hours, 350 hours preferred)
About: LORIS is an open-source database for neuroscience research projects and Open Science initiatives. LORIS databases are used by research projects in 22 countries. LORIS’ open-stack web platform is used by scientists to collect and curate, analyze and share data - including brain scans, genetic data, psychological tests, wearables, electrophysiology and more. 3D visualization and advanced data tools provide a dynamic workflow environment for complex neuroinformatics research. For a few examples, LORIS currently hosts datasets such as the UK Biobank and the BigBrain 3D Atlas (bigbrain.loris.ca 2) - a high-resolution model of the human brain.
Working with LORIS -
LORIS runs on linux, mysql, javascript/React and php, with a RESTful API and NoSQL querying engine. LORIS developers work on this open stack, and we collectively test and review code at github.com/aces/loris 10. We’d love to have you join our diverse team of 20 developers affiliated with the Montreal Neurological Institute and McGill University in Montreal, Canada – We especially encourage those from underrepresented backgrounds and/or interest in neuroscience, medicine or psychology research, bioinformatics, or image/signal processing to apply.
Aims: Projects can be proposed to match the applicant’s interests, background and strengths, and developed with input from our team. Some examples from past INCF Google Summer of Code projects include: new module development, imaging pipelines, automated testing, API development.
Website: https://loris.ca/
Tech keywords: LORIS, JavaScript, React, REST, NoSQL, databasing, imaging, platform, open science, MRI, EEG