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LORIS is an open source data management platform for neuroscience research. It provides a central neuroinformatics hub for data collection, curation and standardization, and data sharing. Built at the Montreal Neurological Institute by Alan Evans' group, LORIS help investigators accelerate their research workflows by providing transparent collaboration tools for complex multi-modal studies and Open Science projects. Its web-facing front end allows authenticated users to upload, manage, review and query data from the brain, behaviour and genes, and includes electrophysiology and biobanking data modules. LORIS supports community driven data standards including BIDS, and can be used as either a managed service or a self-deployed platform. LORIS also connects to any processing platform via API, including its sister platform the CBRAIN processing portal.

Contributor:

McGill Centre for Integrative Neuroscience, Alan Evans lab

Research Subject:

Multi-discipline

Support Email:

info.loris@mcin.ca

Type:

Self deployed

Version:

23.0.3

Release Date (UTC):

2021-04-23

CANARIE Project ID:

RS3-050

Tags:

database neuroimaging neuroinformatics neuroscience open science opensource

How to Cite:

Das, S., Zijdenbos, A. P., Harlap, J., Vins, D., & Evans, A. C. (2012). LORIS: a web-based data management system for multi-center studies. Frontiers in neuroinformatics, 5, 37. https://doi.org/10.3389/fninf.2011.00037