The Aridhia Digital Research Environment (DRE) is much more than a trusted research environment, it’s designed specifically for collaborative health data science at enterprise scale and improving patient outcomes across the globe.
How it works
Whether you’re a healthcare professional with an interest in data science, or a data scientist with an interest in healthcare, the Aridhia DRE is the secure, scalable, next-generation trusted research environment that's been created with you in mind.
Support for a wide variety of multi-modal data types including clinical data, medical imaging, Electronic Health Records (EHR), genomic data and even biosamples using common data models like OMOP and SDTM. Our platform empowers data owners to create access to their data collections by research teams securely through our ISO 27001 / ISO 27701 and HITRUST certified platform.
Learn more about what makes our platform secure.
Data owners can describe their datasets using a fully customisable catalogue model, metadata dictionaries, and attached files. Researchers can browse, filter and subset across a wide variety of use cases; structured and unstructured data, genomics, imaging, and bio-sample metadata.
Learn more about FAIR Data Services
Describe your data to maximise findability.
Our industry leading Cohort Builder feature allows users to visualise and subset data before submitting a data access request, while ensuring that data owners retain fine-grained control over user access.
Find out how Cohort Builder makes finding the data you need easier.
Once they’ve found the data they want, accredited users are able to follow custom data access request (DAR) flows defined by everyone involved in the data access request process. These requests are then reviewed by the owner to ensure the data is being used securely and in line with their agreed usage policy, with access only being granted upon successful approval.
All data access requests are fully audited to maintain security and transparency.
Data can only be imported into a researcher's workspace in the DRE via an audited airlock. The airlocked data is automatically security scanned and requires approval from workspace administrators before researchers can perform any analysis.
Run multiple collaborative Microsoft Azure cloud-based workspaces to conduct data analysis with industry-leading built-in tooling - or bring your own. DRE workspaces support custom tooling, models and code so you can perform analysis exactly how you need to.
Out of the box access to RStudio and Jupyter, with full access to the shared file system and Git version control for collaborative development.
Pre-configured with common statistical modelling packages.
Containerised supporting infrastructure allows for custom app deployment.
Large scale data table statistical analysis capabilities, with a library of over 20 analytics modules built with biostatisticians in mind.
Automated R code generation allowing for re-use and edit in coding tools.
Full flexibility to create multi-schema database tables and views, supporting SQL editing and execution.
Available to all coding tools and applications for data manipulation and query.
Deploy multiple multi-user Linux or Windows virtual machines. Upload and install your own tooling or configure multiple machine clusters. GPU-backed machines available for AI and MLOps. Data Science Virtual Machine provides 50+ tools and utilities.
Gitea version control available to all Linux machines.
Full interaction audit available for administrators, recording file activity, tooling interaction, data use condition acceptance and airlock requests and approval state.
User activity promoting collaboration, including notes and highlighting insights.
Administrator airlock process, ensuring data cannot leave the workspace without approval.
Once the analysis reaches a point where a researcher would like to publish their findings, this requires another airlock process. Ensuring that nothing goes in or out of the workspace without the approval of data controllers.
From global research networks seeking cures for the world's most threatening diseases to small research teams looking to make a big difference, our Trusted Research Environment can be scaled to suit the complexity of your research requirements.
A multi-tenanted SaaS trusted research environment, aimed at individual research teams and projects, with Workspaces hosted in the UK, US, EU, Canada and Australia.
A single-tenanted trusted research environment, aimed at larger enterprises and initiatives, which can be hosted in the Azure region of your choice.
