Key Features

• Collaborative data management
• Compliance, information governance and security
• Solves data sharing and collaboration problems that can facilitate research and artificial intelligence in health
• Comprehensive biomedical analytics functions for real-world clinical data
• Advanced analytics and cognitive AI services
• Subscription-based managed service

Workspaces

Aridhia SaaS DRE Workspaces, investigators can invite a team of people into a secure, trusted research environment, and that team can upload, access, collaborate, and analyse project data while taking advantage of an audited environment furnished with analytical tools, scalable compute resources, and virtual desktops for deploying specialised tooling. Full audit and inbound/outbound airlocks ensure end-to-end traceability and governance.

• Data analysis tooling: point-and-click data table editor, analytics modules driven by R code, interactive R Console, RStudio, Jupyter Notebooks and SQL editor
• Prototyping Shiny-apps using R Shiny to support visualisation
• Source version control using an in-built Gitea implementation
  
• Automated publishing with built-in journal templates
• Bring your own tools with a Microsoft Windows or Linux virtual machine
• Integrate with Azure services such as Machine Learning

Compliance

Security features include multi-factor authentication, role based access control, self-service user management and comprehensive audit. This provides stakeholders with extensive activity reporting, tracking all access to files and data.

Cyber Essentials Plus

• UK government scheme to ensure that organisations have security controls and protections in place to guard against vulnerabilities, hacking and phishing attacks