Uploaded December 2024 | Updated September 2026, 2 weeks ago
Creating validated Shiny applications is essential for industries where compliance, security, and accuracy are paramount. This talk will explore key approaches for building validated shiny apps and demonstrate how a standardised framework like rhino simplifies this process. Regulatory guidelines for validation emphasise the use of best practices, and rhino is specifically designed to incorporate these principles for building Shiny applications, as it is a lightweight solution that brings multiple R packages focused on programming best practices together.
With its structured, modular framework, Rhino supports the development of scalable and maintainable Shiny apps while adhering to industry standards. By the end of the talk, attendees will have a clear understanding of how to create validated apps using Rhino, along with practical insights into how this framework can help meet both technical and regulatory requirements.
Want to discover more? Visit our free resource library here: go.appsilon.com/resources-appsilon
🟢 Ensure your R and Python code meets FDA and EMA standards — learn more about the GxP audit here: go.appsilon.com/yt-gxp-audit
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0:00 – Introduction and Session Overview
1:51 – What Does It Mean to Validate a Shiny App?
2:22 – What Happens When Building a Shiny App?
3:45 – Validating in Stages
5:14 – R Package Validation
6:52 – R Shiny App Validation
8:05 – Risk-Based Approach: Package vs. Shiny App
14:10 – Steps for Validation
29:54 – Thank You
30:29 – Q&A
Creating validated Shiny applications is essential for industries where compliance, security, and accuracy are paramount. This talk will explore key approaches for building validated shiny apps and demonstrate how a standardised framework like rhino simplifies this process. Regulatory guidelines for validation emphasise the use of best practices, and rhino is specifically designed to incorporate these principles for building Shiny applications, as it is a lightweight solution that brings multiple R packages focused on programming best practices together.
With its structured, modular framework, Rhino supports the development of scalable and maintainable Shiny apps while adhering to industry standards. By the end of the talk, attendees will have a clear understanding of how to create validated apps using Rhino, along with practical insights into how this framework can help meet both technical and regulatory requirements.
Want to discover more? Visit our free resource library here: go.appsilon.com/resources-appsilon
🟢 Ensure your R and Python code meets FDA and EMA standards — learn more about the GxP audit here: go.appsilon.com/yt-gxp-audit
___________________
0:00 – Introduction and Session Overview
1:51 – What Does It Mean to Validate a Shiny App?
2:22 – What Happens When Building a Shiny App?
3:45 – Validating in Stages
5:14 – R Package Validation
6:52 – R Shiny App Validation
8:05 – Risk-Based Approach: Package vs. Shiny App
14:10 – Steps for Validation
29:54 – Thank You
30:29 – Q&A
