Resource 1
pharmaverse.org
The Central Hub for Curated R Packages
The pharmaverse Organisation
The pharmaverse is a council of companies working together to promote and enable greater industry collaboration on open-source R package development for clinical reporting. Python is also starting to make an appearance!
Why it matters
- Reduces duplicated effort across companies
- Provides slightly-opinionated, curated package recommendations
- Covers the end-to-end clinical reporting pipeline: SDTM → ADaM → TLGs
- Freely available to the entire industry
Resource 2
pharmaverse Examples
End-to-End Worked Clinical Examples
pharmaverse Examples
📖 End-to-End Worked Examples
pharmaverse.github.io/examples
A curated library of fully worked clinical reporting examples that show how pharmaverse packages fit together in a real pipeline.
- Uses consistent source data from
pharmaversesdtmandpharmaverseadam - Covers ADaM dataset creation, Tables, Listings & Graphs (TLGs)
- Includes PK/PD and Therapeutic Area–specific analyses
Resource 3
pharmaverse Blog
Community-Driven Knowledge Sharing
pharmaverse Blog
📝 Community-Driven Clinical R Blog
The pharmaverse blog promotes and showcases R use in the clinical reporting pipeline through short, personalized, and reproducible posts.
What you’ll find
- Walkthroughs of pharmaverse packages and functions
- Real-world R experiences in clinical programming
- Conference recaps and community spotlights
- Tips, tricks, and patterns for clinical data work
Spirit of every post
✅ Short (< 10 min read) · ✅ Personalized · ✅ Reproducible · ✅ Introductory
Resource 4
admiral
ADaM in R Asset Library
admiral — ADaM in R Asset Library
🚢 The core ADaM-building package
admiral is an open-source, modular toolbox for creating ADaM datasets in R, developed jointly by Roche and GSK — and now maintained by the wider pharmaverse community.
Core design principles
| Principle | Meaning |
|---|---|
| Usability | Easy to read and write by clinical programmers |
| Simplicity | Single, well-defined purpose per function |
| Findability | Consistent naming so functions are easy to find |
| Readability | Code reads like a specification |
admiral — Key Features
🛠 What admiral provides
- 200+ functions for ADaM dataset construction
- Covers
ADSL,ADAE,ADCM,ADLB,ADVS,ADTTE, and more - Two-phase release cadence (core + TA extensions)
Ecosystem of extensions
admiral (core)
├── admiralonco # Oncology
├── admiralophtha # Ophthalmology
├── admiralvaccine # Vaccines
├── admiralpeds # Pediatrics
├── admiralmetabolic # Metabolic
└── admiralneuro # Neuroscience
Resource 5
pharmaverse Data Packages
Test SDTM & ADaM Datasets
pharmaverse Data Packages
One-stop-shop for SDTM test data
Provides a consistent set of SDTM datasets used across pharmaverse packages and examples.
| Dataset type | Examples |
|---|---|
| TA-agnostic SDTM | dm, vs, eg, lb, ex, ae |
| Oncology-specific | rs_onco, tr_onco |
| Ophthalmology | oe_ophtha |
Key features
- Based on CDISC pilot project data
- Modernizing to current standards (slow going!)
- Detailed Documentation for each dataset
pharmaverseadam — ADaM Test Data
📦 One-stop-shop for ADaM test data
Provides ready-to-use ADaM datasets automatically generated by running admiral templates — so they are always in sync with the latest admiral release.
| ADaM Dataset | Source package |
|---|---|
adsl |
admiral |
adae |
admiral |
adrs_onco |
admiralonco |
Key features
- Source data from
pharmaversesdtm - Covers most TA extension packages
- Always looking to add more!
All Resources at a Glance
🤝 Get involved — the pharmaverse is open to everyone!