LORIS is a web-based data and project management software for neuroimaging research studies. It is an open-source framework for storing and processing behavioural, clinical, neuroimaging, biospecimen and summary genetics data. LORIS also makes it easy to manage large datasets acquired over time in a longitudinal study, or at different locations in a large multi-site study.  

LORIS provides for management of data acquisition and electronic data capture, quality control, automated “pipeline’ analysis and mass data dissemination. Existing major projects using LORIS include autism (Infant Brain Imaging Study), dementia (CCNA, PreventAD), Parkinson’s (QPN, C-OPN), ALS (CAPTURE), Multiple Sclerosis (DeMystifi), addiction (HBCD), Open Science (C-BIG, EEGNet and the CONP), and many other studies. 

Originally developed in 1999 for the NIH MRI Study of Normal Brain Development (NIHPD; Evans and Brain Development Cooperative Group, 2006), LORIS was designed to facilitate active multi-site study management and centralized archiving and retrieval of multi-modal data. It was thereafter adopted as the data platform for Infant Brain Imaging Study (IBIS), the Autism sibling study of brain development.   

LORIS has since benefitted from the addition of many tools and modules incorporated into the platform to facilitate data management, quality control, provenance capture, standardization and sharing efforts, including web-based imaging visualization which was introduced via BrainBrowser in 2011. Its extensive suite of modules is deployed in numerous projects globally with code contributions coming from an ever-growing community of developers.