This tutorial provides a walkthrough of LabKey's "longitudinal study" features, which help researchers to curate their datasets, analyze them, and publish the results. The study toolkit also includes quality control features, an intuitive visualization builder, data de-identification, and much more.

Note that all of the links in this tutorial open their targets in new browser tabs. To open the links in a new window, hold down the Shift key and click the link.

In this first step we look at the main dashboards of the study. Each tab provides different information and tools organized by what users need. Note that all data in this example study is fictional and created by random data generators.

The Study's Home Page

  • To begin, go to the online example: Example Longitudinal Study. (Opens in a new tab.)
  • The LabKey Studies tab includes some context about how LabKey studies help researchers manage clinical data.

Overview Tab

  • Click the Overview tab to open the main dashboard for the (simulated) research effort.
  • Here you see a summary of the study contents, a navigator section, details about the funding grant and investigator, and other contextual information an administrator has provided.

Clinical and Assay Data Tab

  • Next, click the Clinical and Assay Data tab. (Opens in a new tab.)
  • This tab displays the base datasets and reports built on top of the base datasets, such as joined data grids and visualizations. Hover over a link to see a popup preview of the item.

Participants Tab

  • Next, click the Participants tab. (Opens in a new tab.)
  • Study participants have been grouped by cohort, treatment groups, and any other groups you define.
    • Hovering over a label will highlight members on the participant list.
    • Use checkboxes to control which groups are shown in the list.
  • Clicking a participantID will open the details page for that individual.

Manage Tab

Administrators will see an additional tab for managing various aspects of the study.

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