LabKey Solutions

Data Management for Longitudinal Studies

LabKey Server can be easily configured to guide data management for longitudinal studies.  The platform integrates, organizes, and publishes longitudinal research study data using a customizable study framework. This framework includes quality control workflows, an intuitive visualization builder, manuscript development tools, and de-identified data publishing.

  • Organize and manage longitudinal study data in a central, secure environment for more efficient curation, analysis, and publishing.
  • Keep your longitudinal study on track with a birds eye view of participant enrollment, data collection, quality control checks and other key activities.
  • Provide appropriate access to research study data at all phases from operational execution to post-publication.
LabKey Server software for longitudinal study data management

See Longitudinal Study Example

Explore a study on LabKey Server comparing HIV disease progression under different ARV treatment regimens.

Demographic data, clinical data, specimen data integration using LabKey study software

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.

LabKey Server laboratory assay data QC software
Research study cohort definition with LabKey Server study management software

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 tracking activity throughout the study.

Longitudinal study progress tracking software tools in LabKey Server
Clinical study visualization and analysis tools

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.

Research study collaboration tools
Research study publication tools

Study Data Publication

Provide direct access to study results using LabKey Server’s data publishing tools. Allow 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. 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 >

Patient PHI Protection and Data De-Identification software
Ancillary study data management tools 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 hypotheses 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.