Table of Contents

LabKey Studies
Evaluating LabKey?
Demo Study

LabKey Studies

This research data portal highlights key features of LabKey's study module, which provides everything researchers need to manage their clinical and experimental data, including:

  • Quality control and data curation
  • Alignment of heterogeneous datasets, such as clinical, experimental, and sample data
  • Visualizations, dashboards, and live reports
  • Security and data de-identification for publishing
  • and much more

Data Quality Control

Customize your own quality control states to apply to your data. Built-in quality control reports provide an overview of the status of all datasets and help you identify which data is in need of review and approval.


Link all your datasets into an integrated whole for analysis and presentation. Experimental, demographic, and clinical datasets are automatically connected upon import to LabKey. Data from disparate sites can be easily connected using web-based data entry tools and drag-and-drop file upload.

Visualization & Analysis

Visualize, analyze and display integrated study data using a range of built-in plotting and reporting tools available in LabKey Server. Use LabKey's built-in support for R to present live reports within a LabKey Server study.

Publication and Security

Provide direct access to study results using LabKey Server's data publishing tools. Provide access to a subset of data to a selected audience, such as collaborators or the general public. De-identify 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. These data de-identification features help support HIPAA compliant data sharing.

Case Studies

See LabKey's study management tools in action.

LabKey Studies: Learn More

Evaluating LabKey?

Contact Us  

Request a Demo  

Evaluating LabKey?

Demo Study

Looking for the old demo study?

Here it is!

This study is referenced from documentation and ideally would remain as is. Please do your experimenting in the old demo study linked above.