Your Guide to Quality Data Science Products

Learn how to validate R packages for GxP compliance in pharma. Ensure accuracy, reproducibility, and regulatory adherence with our step-by-step guide.

Make FDA submissions and GxP validation easier with tips and best practices tailored for clinical software development.

Discover how the Definition of Done can be a good starting point for GxP validation in software development for the pharmaceutical industry.

Explore essential Git best practices to streamline your development process and improve project efficiency.

Explore Shiny's edge in clinical data management: real-time insights, improved decision-making, better security and scalability.

Secure your R Shiny apps with best practices on authentication, SQL queries, UI, error handling, and user input to prevent vulnerabilities.

Is validating Shiny apps necessary for regulatory submissions? Learn how it ensures compliance and reliability in clinical trials.

Explore Novo Nordisk's pioneering R-based submission to the FDA, highlighting strategies and key insights in pharmaceutical compliance.

Delve into the Appsilon-R Validation Hub partnership revolutionising clinical trial reporting for precise life sciences research.

The article contrasts Gitflow and Trunk-based Development, highlighting Gitflow's structured approach for extensive release management and Trunk-based Development's rapid, continuous delivery beneficial in pharmaceutical development.

Explore the future of open source for pharmaceutical data and clinical trials

Discover several curated libraries of R packages for clinical trial analysis and reporting.