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. 2012 Jan 20:5:37.
doi: 10.3389/fninf.2011.00037. eCollection 2011.

LORIS: a web-based data management system for multi-center studies

Samir Das  1 , Alex P Zijdenbos, Jonathan Harlap, Dario Vins, Alan C Evans
Affiliations

LORIS: a web-based data management system for multi-center studies

Samir Das et al. Front Neuroinform. .

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 project and is now supporting numerous international neurodevelopment and neurodegeneration research projects.

Keywords: MRI; behavioral data; data querying; database; imaging data; longitudinal; multi-center; neuroimaging.

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Figures

Figure 1
Figure 1
Data flow within the LORIS system.
Figure 2
Figure 2
Subject listing window displays and filters all subjects within the study.
Figure 3
Figure 3
Timepoint listing for all longitudinal visits.
Figure 4
Figure 4
Test battery for each timepoint; clicking on a measure opens data entry forms.
Figure 5
Figure 5
JIV (Java Image Viewer) enables 3D orthogonal viewing for quality control.
Figure 6
Figure 6
The Imaging Browser allows for tagging, filtering, and visualization of quality control results for each scan.
Figure 7
Figure 7
Data Query GUI allows users to choose desired variables, define populations, and download datasets.
Figure 8
Figure 8
System architecture layers.
See this image and copyright information in PMC

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