CLiREN-LMS
Data Visualization and Dashboards

Dashboard Governance and Privacy

Learning Outcomes

30-45 minutes Applied Step 2 of 7
Outcomes

Learning Outcomes

2 / 7
  • Explain the role of visualization in clinical data management, monitoring, and reporting.
  • Select appropriate chart types for categorical, numeric, time-based, and site-level data.
  • Create basic clinical research visualizations in R using `ggplot2`.
  • Interpret visual outputs with attention to denominators, missing data, scale, and study context.
  • Describe the purpose and basic structure of a Shiny dashboard.
  • Identify governance and privacy considerations when building dashboards from clinical research data.
  • Design a simple monitoring dashboard concept that supports action rather than decoration.