Aridhia Digital Research Environment (DRE)
Autor: Aridhia
A dedicated research environment built for biomedical research, precision medicine and healthcare.
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
- 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.
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