Ebook for R/Shiny Developers & Team Leads

Leveling Up: How to Build Better Shiny Apps as a Team

Best practices in code collaboration, project management, and workflow optimization tailored for R/Shiny teams. Actionable advice for developers, data scientists, and team leads.

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astellas
Genmab
merck
johnson and johnson
World Health Organisation
Kenvue
Phuse
Pharmaverse
astellas
Genmab
merck
johnson and johnson
World Health Organisation
Kenvue
Phuse
Pharmaverse
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What’s Inside

What You'll Learn

From git workflows to testing strategies, this ebook covers the practices that separate hobby projects from production-grade Shiny applications.

Code Collaboration Best Practices for R/Shiny Teams

Learn how to organize your codebase, adopt shared conventions, and use version control effectively so your whole team can contribute without stepping on each other's work.

Project Management for Data Science Teams

Discover tools and techniques for planning sprints, tracking progress, and managing technical debt across Shiny projects of any size.

Workflow Optimization and Deployment

Practical guidance on structuring your development, testing, and deployment pipelines to ship reliable Shiny apps faster.

Who Should Read This Ebook?

Download the Ebook

R/Shiny Developers

Get practical advice on structuring code, writing tests, and adopting development workflows that make your Shiny apps production-ready.

Data Science Team Leads

Learn how to improve team collaboration, manage technical debt, and ship reliable applications on time.

Analytics Engineers

Understand the engineering practices that turn exploratory scripts into scalable, maintainable enterprise applications.

Expert Insights

Stay Informed with GxP Compliance Tips and Trends

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Services

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Rigplay Case Study

Statistical Computing Environments (SCE)

GxP-ready platforms for modern analytics
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Shiny Dashboards

Advanced Data Visualizations

Transform complex data into actionable insights
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RNS-Ligand Binding

R package validation

Axon.R – a GxP-aligned, audit-ready R package validation
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RNS-Ligand Binding

Migration to Open Source

Our automation and migration work delivers impact at every level.
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Ebook for Directors in Clinical Trials

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Explore how open-source technology – particularly R and Shiny is transforming clinical trials and the broader pharmaceutical industry.

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