the open-source web platform for neuroimaging and clinical research data management from McGill's Montreal Neurological Institute: organise participants, visits, instruments and imaging data with roles, permissions and a self-service data query tool
LORIS (Longitudinal Online Research and Imaging System) is an open-source, web-based data-management platform for neuroimaging and clinical research studies, developed by the McGill Centre for Integrative Neuroscience at the Montreal Neurological Institute and used by research groups worldwide to run large multi-site longitudinal studies. It gives a study a single system for organising participants, visits, behavioural and clinical instruments, imaging data and derived measures, with user accounts, roles and fine-grained permissions, a configurable study structure, a self-service data query and download tool, and an administration surface a study coordinator can run without editing files.
This image ships the complete LORIS web platform assembled and hardened on a LAMP stack (Apache 2.4, PHP 8.4, MariaDB), with the React front end compiled to production bundles and the full database schema ready, so a working LORIS instance answers requests within minutes of launch instead of after a day of manual setup, a Composer install, a webpack build and a schema import.
A self-managed deployment of LORIS means installing and tuning Apache, PHP 8.4 and a dozen extensions and a database engine, running Composer to vendor the PHP dependencies, running npm and webpack to compile roughly thirty React module bundles, importing a multi-file schema and hardening every credential involved. This image completes all of that before first boot. LORIS's schema seeds a single administrator with no usable password and its web installer is removed, so every VM mints its own database password and administrator password on first boot, proves the new credential through the real login endpoint and rejects common defaults, and Apache and PHP are gated on a bootstrap marker so no service ever serves an unprovisioned instance. You also get 24/7 expert support from cloudimg covering configuration, upgrades and performance.
Real screenshots taken while testing this image against its deployment guide.