LabKey Solutions
Longitudinal Study Data Management
LabKey Server can be configured as a study data management platform that integrates, organizes, and publishes research study data. Our customizable study framework includes quality control workflows, an intuitive visualization builder, manuscript development tools, and de-identified data publishing.
- Organize and manage study data in a central, secure environment for more efficient curation, analysis, and publishing.
- Keep your study on track with a birds eye view of participant enrollment, data collection, quality control checks and other key activities.
- Provide appropriate access to study data at all phases from operational execution to post-publication.
See Study Example
Explore a study on LabKey Server comparing HIV disease progression under different ARV treatment regimens.
Data Integration
Connect assay, specimen, demographic, and clinical data using LabKey Server study tools. Easily bring together data from disparate sites using web-based data entry tools and file upload or pull in data directly from instruments and external systems using the LabKey API.
QC Tracking & Approval
Track which quality control measures have been performed on each dataset utilized in a LabKey Server study. LabKey Server QC states provide a global view of the status of all datasets and help reviewers identify data in need of review and approval.
Cohort Definition
Assign study participants to cohort groups based on demographic or study characteristics. LabKey Server cohorts allow researchers to easily track the progress a particular group of interest, compare cohort groups, and conduct cohort specific analysis.
Research Study Tracking
Define study requirements and monitor the progress of the study using the LabKey Server study schedule. Specify the datasets for collection at each time point, define their required processing steps, and create progress reports to activity throughout the study.
Visualization & Analysis
Visualize, analyze and display integrated study data using a range of built-in plotting and reporting tools available in LabKey Server. Utilize the platform’s powerful integration with the R statistical programming environment to present R script results as live reports within a LabKey Server study.
Communication Tools
Streamline communication with collaborators using LabKey Server’s editable wiki pages, threaded discussion forums, and announcements system. Take discussions out of email and create a trackable, centralized workspace for collaboration.
Study Data Publication
Provide direct access to study results using LabKey Server’s data publishing tools to provide access to a selected subset of data to a broader audience, such as key collaborators or the general public. Published data is packaged into a new folder for access by your specified audience.
Data De-Identification & Compliance
Obscure Protected Health Information (PHI) by randomizing participant IDs, shifting dates, and masking clinic names in published datasets or hold back specified columns of data from publication based on the PHI they represent. These data de-identification features help support HIPAA compliant data sharing.
Learn more about regulatory compliance support in LabKey Server >
Ancillary Studies
Explore subsets of data that are of special interest using LabKey Server ancillary studies. Ancillary studies allow teams to pursue alternate hypothesis using the source study data or create a follow-up study that combines the original source data with newly collected data.
See Study Example
Explore a study on LabKey Server comparing HIV disease progression under different ARV treatment regimens.
CASE STUDY
ITN TrialShare: Breaking New Ground for Clinical Trial Transparency
The Immune Tolerance Network (ITN) developed ITN TrialShare as a research web portal for both operational data management and post-publication sharing of data from clinical trials. By publishing data on ITN TrialShare, the network can provide direct linking from major clinical trial publications to participant-level data and interactive analyses.