LORIS — Longitudinal Online Research and Imaging System
Overview
LORIS (Longitudinal Online Research and Imaging System) is an open-source web-based data and project management platform for neuroimaging and clinical research, developed and maintained by the McGill Centre for Integrative Neuroscience (MCIN) at the Montreal Neurological Institute. It manages multimodal longitudinal and multisite datasets, integrating neuroimaging, clinical, behavioural, electrophysiology, biospecimen, and genetic data in a single secure web-accessible database.
Key Features
- LORIS provides DICOM ingestion, automated QC, and BIDS conversion pipelines.
- It supports longitudinal and multisite study management with role-based access control.
- A RESTful API enables integration with processing pipelines and external platforms.
- It interfaces with XNAT for imaging data exchange and Neurobagel for federated cohort search.
- It is one of the primary backend platforms for CONP, which registers all LORIS-hosted datasets on its portal.
Connections
- operatedBy: MNI
- relatedTo: XNAT (LORIS interfaces with XNAT for imaging data exchange)
- relatedTo: Neurobagel (LORIS interfaces with Neurobagel for federated cohort search)
- relatedTo: CONP (LORIS is one of the primary backend platforms for CONP datasets)
Resources
- https://loris.ca
- https://github.com/aces/Loris (source code)
- https://demo.loris.ca (public demo instance)
- https://mcin.ca/technology/loris/ (MCIN overview)
- https://scicrunch.org/resolver/SCR_000590 (RRID: SCR_000590)