Aridhia DRE is a next-generation Digital Research Environment that facilitates secure, auditable and reproducible research, allowing data sharing with role-based access control for collaborators and research groups. Designed for projects of any size or scale, local or global. The DRE is currently utilised by global research networks, research hospitals, and pharmaceutical organisations. This environment is built to enable greater collaboration, knowledge sharing, and access to the potential of machine learning, in order to translate clinical research into mainstream clinical practice.

What our customers are saying:

"The Aridhia research and innovation platform will transform the way in which we manage our research projects, […] underpinning pioneering research of national and international significance.”

NEIL SEBIRE – GREAT ORMOND STREET HOSPITAL CHIEF RESEARCH INFORMATION OFFICER AND MANAGING DIRECTOR OF DRIVE

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

With Aridhia 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

FAIR Data Services

FAIR Data Services gives researchers and innovators the ability to discover and understand data through dataset search, visual cohort building, classification and efficient metadata browsing capabilities described via dataset catalogues, dictionaries, and associated attached assets.

Standardised dataset definitions and vocabularies. Uses the Data Catalog Vocabulary (DCAT) for dataset instance-level descriptions.
Data Access Requests – GDPR control of data. Data owners always in control of where and how data is used.
Cohort Builder – Build and select the data you need. Understand the data without access to record level detail.
Configurable Data Delivery Pipeline - Determine optimal data delivery for performance, federation, and cost.

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.

The DRE is a managed service, which operates to the following certifications:

ISO27001

ISO/IEC 27001 information security management

ISO27701

ISO/IEC 27701 GDPR privacy information management

HITRUST Certification

HITRUST brings together several compliance frameworks such as HIPAA, NIST, and ISO into the Common Security Framework (CSF)

NHS Digital Security and Protection Toolkit

National Data Guardian’s 10 data security standards

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

Aridhia Digital Research Environment (DRE)Aridhia

Aridhia Digital Research Environment (DRE)

Aridhia

Aridhia Digital Research Environment (DRE)

Aridhia

Aridhia Digital Research Environment (DRE)
Aridhia