Project Management and Study design

Project monitoring and auditing tools allow researchers to oversee 
data acquisition, data validation and clinical reliability verification.

Data Collection

Data entry and data transfer for behavioral, clinical, imaging and genetic datasets. Datasets are validated and cleaned of identifying information. A unique set of anonymized subject identifiers is assigned to every participant, designed to match the requirements of the study. During data entry, strict completion rules, restricted field types and rule
 checking actively enforce data validity according to project standards.

Data Management and Quality Control

Once data is entered, separate database modules perform data validation and provide feedback based on automated and manual checks.

Data Visualization

The Imaging Browser links each subject’s neuroimaging scans (such as MRI images or processed outputs) to their clinical, behavioural and genetics data in LORIS. To facilitate quality control and visualization, LORIS uses BrainBrowser technology for 3D and 4D datasets.

Data Sharing

LORIS’ Data Query Tool and Data Dictionary enable users to design, extract and update custom datasets in a simple and intuitive manner without having to write complex database queries. Datasets are downloaded as Excel or CSV files, with imaging files packaged for download. Data can also be exported from LORIS to image processing pipelines and analysis suites.