Abstract
Longitudinal Online Research and Imaging System (LORIS) is a modular and extensible web-based data management system that integrates all aspects of a multi-center study: from heterogeneous data acquisition (imaging, clinical, behavior, and genetics) to storage, processing, and ultimately dissemination. It provides a secure, user-friendly, and streamlined platform to automate the flow of clinical trials and complex multi-center studies. A subject-centric internal organization allows researchers to capture and subsequently extract all information, longitudinal or cross-sectional, from any subset of the study cohort. Extensive error-checking and quality control procedures, security, data management, data querying, and administrative functions provide LORIS with a triple capability (1) continuous project coordination and monitoring of data acquisition (2) data storage/cleaning/querying, (3) interface with arbitrary external data processing “pipelines.” LORIS is a complete solution that has been thoroughly tested through a full 10 year life cycle of a multi-center longitudinal project1 and is now supporting numerous international neurodevelopment and neurodegeneration research projects.
Highlights
One of the primary challenges in conducting large-scale, multicenter studies is to coherently gather, process, and disseminate data in a way that is optimized and complete, and aligned with the workflow of the researchers conducting the study
Longitudinal Online Research and Imaging System (LORIS) is a modular and extensible data and project management system that is encapsulated by a structured model integrating heterogeneous data types and modalities from imaging data to cognitive and behavioral scalars, and genetic biomarkers
While design details regarding the various layers of LORIS are outlined in the “System Architecture” section, the basic construct is developed around a structured data model called the “Subject Profile,” which is used to map the study-specific battery of instruments3 and methodologies, including an array of external metadata collected about the study subjects
Summary
One of the primary challenges in conducting large-scale, multicenter studies is to coherently gather, process, and disseminate data in a way that is optimized and complete, and aligned with the workflow of the researchers conducting the study. Longitudinal Online Research and Imaging System (LORIS) (http://cbrain.mcgill.ca/loris) is a modular and extensible data and project management system that is encapsulated by a structured model integrating heterogeneous data types and modalities from imaging data to cognitive and behavioral scalars, and genetic biomarkers. It features an intuitive design which follows the natural workflow of multi-center research studies and performs numerous quality control checks to ensure for data completeness and accuracy. Its extensible design enables scaling and customization to meet the needs of rapidly growing research projects
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