Features

LORIS comes complete with a flexible toolset to manage, process, and disseminate large amounts of data for a variety of study scenarios. Key features include:

Data Collection

LORIS makes it easy to manage and curate large amounts of data from a variety of sources and formats, with multiple options for input, identification and classification. [read more]

Data Sharing

Powerful querying and dissemination tools let researchers process and distribute data in a flexible and efficient manner. [read more]

Quality Control

Easy-to-use workflows for verifying clinical and imaging data help researchers produce high-quality datasets and high-confidence results. [read more]

Neuroimaging

Data workflows, integrated 3D visualization and quality annotation tools provide a robust platform for understanding imaging data and results. [read more]

Visualization

LORIS includes several different data visualization toolsets, ranging from dashboard graphs to statistical plots and 3D imaging visualization, enabling users to animate and explore datasets in a variety of formats. [read more]

Genomics

Tools for hosting, visualizing, and disseminating summary genetic and epigenetic data enable researchers to cross-link subject data across imaging, behavioural, and genetic elements of interest. [read more]

Participant Surveys

Study participants can complete questionnaires directly from home using LORIS’ secure online Participant Survey module, on a mobile tablet or home computer. [read more]

Mobile-friendly

Using responsive web design, LORIS works seamlessly on mobile devices including smartphones and tablets. Clinical data can be entered directly into LORIS via tablet, making patient data collection easier. [read more]

Customization

LORIS’ OPEN SOURCE codebase and user-friendly Configuration module make it easy and transparent to tailor LORIS to any study design and to add custom features. [read more]

Data Collection

LORIS makes it easy to manage and curate large amounts of data from a variety of sources and formats, with multiple options for input, identification and classification.

LORIS can accommodate any number of collection sites, complex rule-based visit schedules, project and subject cohort groups. With a variety of customizable fields for organization and sorting, researchers can access the information they need when they need it. Easy-to-use data entry interfaces improve efficiency and accuracy in data collection.

  • Behavioural And Clinical Data

    LORIS allows research staff to enter behavioural and clinical data gathered from a variety of sources over time.

  • Imaging Data

    Compatible with many types of imaging device file formats (ie. MINC, DICOM, NiFtI) LORIS is designed for maximum compatibility with analyses with software packages like MINC, FSL, SPM, FreeSurfer.

  • Genetic Data

    The Genomic Browser module enables exploration of genomic variant data (CNV, SNP) by sorting and filtering them according to a given annotation, subject attribute(s) and genomic location(s). A direct link to the UCSC Genome Browser allows access to genomic contextual information of individual variant locations.

  • Biosamples

    LORIS provides customizable modules for tracking biosample metadata including information on blood samples, cell culture, and environmental samples collected for genomic analysis.

Data Sharing

Powerful querying and dissemination tools let researchers process and distribute data in a flexible and efficient manner.

  • Data Query Tool

    The LORIS database handles large datasets efficiently, and empowers users with query building tools for generating custom curated datasets for analysis and dissemination. LORIS’s complete architecture includes NoSQL extension for rapid querying and retrieval capability on very large datasets.

  • File Downloading

    LORIS allows the user to package data for downloading to a local drive permitting data to be moved and saved.

  • Data Permissions

    LORIS can be customized with full user control, featuring multiple levels of permissions and roles, from superuser to radiologist to data entry staff. A combination of fully customizable permissions that are module, site, and edit/view specific provide full control over data entry, access and modification.

  • User Permissions

    LORIS can customize access privileges and restrict authorization to specific users or study groups.

Quality Control

Easy-to-use workflows for verifying clinical and imaging data help researchers produce high-quality datasets and high-confidence results.

  • Automated Scoring and Validation

    Automatic calculation of behavioural and clinical test scores reduces human error, saves time and ensures scoring consistency across sites and staff.

  • Double Data Entry and Conflict Resolver

    LORIS automatically detects and highlights data entry conflicts to assist research staff in spotting manual input errors.

  • Outlier Detection

    The interactive Statistics module provides at-a-glance outlier detection in behavioural and clinical datasets. Dashboard notifications can alert users upon login of the statistical outlier.

  • Scan Protocol Violation

    The MRI protocol violation module flags images that do not meet study protocol, with customizable criteria based on study and image specific requirements. Automated checks ensure that identifying information is removed from scans.

  • Imaging Quality Control

    The Imaging Browser allows expert users to rate and annotate the quality of individual scans, and set pass/fail summary flags to automatically exclude poor quality scans from exportable datasets. Common artifacts can be easily flagged by selecting from a predefined list (e.g. intensity, movement artifacts, entropy ratings, coverage).

  • Radiological Reviews

    Radiologists are able to independently review subject scans based on customizable parameters (e.g. size of subarachnoid or perivascular spaces) and record detailed annotations alongside the imaging data.

    Conflicts between two reviewers are flagged for further discussion or review. Based on these reviews, a subject may be included or excluded from the study.

Neuroimaging

Data workflows, integrated 3D visualization and quality annotation tools provide a robust platform for understanding imaging data and results.

  • MRI Uploading

    LORIS allows the user to upload a variety of MRI scan modalities and metadata.

  • Imaging Pre-Processing

    LORIS is designed to allow automated de-identification and defacing of scans, artifact detection, and contrast-to-noise and signal-to-noise ratio checks, to verify scan quality before insertion into LORIS.

  • Multi-Modal Data Support

    LORIS can be customized to display data from various sources, data formats and imaging modalities (such as PET and MEG), linked with clinical, behavioural and genetic data.

  • Brain Browsing

    Volume visualization and exploration is fully integrated into LORIS via BrainBrowser, enabling users to dynamically compare and navigate through scans in 3D.

Visualization

LORIS includes several different data visualization toolsets, enabling users to animate and explore datasets in a variety of formats.

Data views and graphical display tools handle multiple formats and modalities, ranging from dashboard graphs to statistical plots and 3D imaging visualization.

LORIS comes pre-packaged with a variety of tools to assist the user in visualizing data:

  • Custom Dashboard

    Dashboard infographics can be customized to dynamically display the most important study metrics at a glance.

  • Study Statistics

    A variety of tools allow the user to review and visualize summary metrics on data across all modalities and stages of data collection in LORIS.

  • Brain Browsing

    Neuroimaging volume visualization allows dynamic 3D exploration of MRI scans via LORIS’ embedded BrainBrowser software

Genomics

Tools for hosting, visualizing, and disseminating summary genetic and epigenetic data enable researchers to cross-link subject data across imaging, behavioural, and genetic elements of interest.

Summary genetic and epigenetic data are accessed via an embedded Genomic Browser module. The Genomic Browser enables cross-modal subject profiling, querying, visualization and data dissemination by providing links between subjects’ imaging, clinical and genetic information.

Genetic datasets (CNV, SNP, CpG, GWAS) are imported directly into LORIS from genetic analysis pipelines or other sharing platforms (e.g., CBRAIN).

Integrated links to external reference resources (such as the UCSC Genome Browser) facilitate rapid visualization of results.

Participant Surveys

Study participants can complete surveys and questionnaires directly from home using LORIS’ secure online Participant Survey module on a mobile tablet or home computer.

Clinical data collection is accelerated by enabling direct entry of participant information in advance of clinical visits. Patient data can be entered directly via tablet, making data gathering during clinical visits easier. Data collection and display works for all screen sizes, whether web browser, tablet, or mobile handset.

MOBILE-FRIENDLY

Using responsive web design, LORIS works seamlessly on mobile devices including smartphones and tablets. Clinical data can be entered directly into LORIS via tablet, making patient data collection easier. With the ability to customize the GUI as well as create your own custom CSS file, LORIS can be optimized to work on almost any device.

Customization

LORIS’ OPEN SOURCE codebase and user-friendly Configuration module make it easy and transparent to tailor LORIS to any study design and to add custom features.

LORIS architecture includes configurable data collection design, adjustable layout features, and tools for building targeted data views according to study specifications.

  • MULTI-PURPOSE

    LORIS can be customized in a variety of ways to accommodate many kinds of study requirements, making LORIS one of the most versatile data management platforms available.

  • OPEN SOURCE

    OPEN SOURCE codebase provides complete access to the LORIS backend, enabling custom modifications and extensions to adapt LORIS to any study design.

  • CONFIGURATION MODULE

    LORIS features and data parameters can be modified directly in the front-end interface of the Configuration Module, facilitating customization and setup of the database backend according to study requirements.

  • EASILY ADD/REMOVE MODULES

    LORIS is designed to easily allow modules to be added and removed as needed, with easy integration of new custom features.

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