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improveR User Group

The improveR User Group meets on the last Thursday of each month at 17:00 CET via Google Meet: meet.google.com/kri-qxfz-obv.

  • Thursday, 29 October 2026 · 17:00 CET / 12:00 EDT (US Eastern) — Join the call
  • Thursday, 26 November 2026 · 17:00 CET / 11:00 EST (US Eastern) — Join the call
  • December: no meeting — the User Group will not take place in December.

Overview

improveR is the R client package for Scinteco’s improve platform - a secure, versioned repository designed specifically for pharmaceutical R&D data science and modeling workflows. This package enables seamless integration between R environments and the improve platform, providing pharmaceutical researchers with tools to manage, track, and control reproducible analytical workflows in a 21 CFR Part 11 compliant environment.

The improve platform supports comprehensive workflow management for pharmaceutical modeling (NONMEM, MATLAB, Monolix), biostatistical analysis, and data science processes, with improveR serving as the primary R interface.

Key Features

Core Functionality

  • Resource Management: Load, save, and manage analytical resources with full metadata and lineage tracking
  • Workflow Control: Execute and manage multi-step pharmaceutical modeling workflows
  • Version Control: Built-in CLI integration for cloning, pushing, and pulling workflow changes
  • Authentication: Secure OAuth-based authentication with token management

Pharmaceutical R&D Focus

  • Regulatory Compliance: 21 CFR Part 11 compliant workflow tracking and documentation
  • Multi-Tool Integration: Seamless integration with NONMEM, MATLAB, Monolix, SAS, and other pharmaceutical modeling tools
  • Data Lineage: Comprehensive tracking of data transformations and analysis steps
  • Collaborative Research: Review system for team-based pharmaceutical research

Advanced Capabilities

  • Automated Reporting: Integration with R Markdown and LaTeX for streamlined pharmaceutical reporting
  • Metadata Management: Rich metadata handling for regulatory documentation
  • Intelligent Caching: Performance optimization for large pharmaceutical datasets

Platform Integration

improveR integrates with the broader improve platform ecosystem:

  • Data Sources: Automated fetching from clinical databases and EDC systems
  • Analysis Tools: NONMEM, MATLAB, Monolix, SAS integration
  • Reporting: R Markdown and LaTeX report generation
  • Collaboration: Team review and approval workflows
  • Compliance: 21 CFR Part 11 validation and audit capabilities

About Scinteco

Scinteco is a Vienna-based technology company specializing in IT solutions for the pharmaceutical industry. The improve platform represents their commitment to providing secure, compliant, and efficient data science workflows for pharmaceutical R&D.

License

GPL-3