Open-source power without open-system risk.

CRE is a multi-tenant, validated Statistical Computing Environment (SCE) designed for compliant clinical data analysis. It leverages the full capabilities of R, RShiny, and the RStudio IDE within a secure, audit-ready framework that meets 21 CFR Part 11 and GxP standards. Built for security, collaboration, and reproducibility, CRE empowers teams to build, deploy, and maintain RShiny applications alongside validated R analyses within one trusted environment for regulated studies.

Unites R, RShiny, and the RStudio IDE in a single, compliant workspace built for clinical research. All analyses and assets operate under validated controls, providing the freedom of open-source innovation within a secure, GxP-compliant infrastructure.

Transforms validated insights into interactive RShiny dashboards and visualizations within the same compliant environment. Each deployment follows controlled validation and access procedures, ensuring every output is traceable, auditable, and submission-ready.

Delivers a validated foundation for reproducible results through consistent package versions and controlled environments. This consistency reduces revalidation effort, strengthens traceability, and supports compliant, data-driven decision-making.

Designed for the rigor of clinical research, ensuring every R, RShiny, and RStudio workflow is version-controlled, validated, and compliant for submission.

Empowers customers to define and maintain their own validated package repositories and environment standards. This control ensures consistency, efficiency, and compliance across every study.

Unites the full study team in one secure, validated environment where RShiny and RStudio run side by side for seamless collaboration and review.

Safeguards sensitive data within a secure, isolated environment that removes open-system risk while preserving the flexibility of open-source analytics.

Ensures every workflow meets global regulatory standards with built-in compliance, full traceability, and audit-ready confidence.

Transforms how clinical data science teams work by combining open-source flexibility with regulated precision. Enables confident innovation without compromising compliance.

CRE Whitepaper

CRE adapts to your organization’s infrastructure and compliance framework through two validated deployment options. 

Access CRE, a fully validated Statistical Computing Environment (SCE), hosted and managed by CIMS in a secure, GxP-compliant infrastructure. This model removes the complexity of setup, maintenance, and validation, allowing teams to focus on analysis and innovation rather than system management. 

For organizations that require internal hosting, CRE can be implemented within your validated environment under your existing security and compliance controls. 

Both models deliver the same validated experience, ensuring compliant, reproducible workflows for regulated clinical research.