Montreal Neurological Institute, McGill University Montreal, Canada.
Front Neuroinform. 2012 Jan 20;5:37. doi: 10.3389/fninf.2011.00037. eCollection 2011.
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.
LORIS（纵向在线研究和成像系统）是一个模块化和可扩展的基于网络的数据管理系统，它集成了多中心研究的各个方面：从异构数据采集（成像、临床、行为和遗传学）到存储、处理，最终到传播。它提供了一个安全、用户友好、精简的平台，可实现临床试验和复杂多中心研究的自动化流程。以主题为中心的内部组织允许研究人员捕获并随后提取研究队列中任何子集的所有信息，无论是纵向还是横断面的。广泛的错误检查和质量控制程序、安全性、数据管理、数据查询和管理功能为 LORIS 提供了三重能力：（1）持续的项目协调和数据采集监测；（2）数据存储/清理/查询；（3）与任意外部数据处理“管道”的接口。LORIS 是一个完整的解决方案，通过一个长达 10 年的多中心纵向项目的全生命周期得到了充分的测试，现在正在支持许多国际神经发育和神经退行性研究项目。
