FAIR Data Services

A metadata catalogue that
Store and curate data

Researchers can spend up to 80% of their time finding the data they require – FAIR lowers this barrier by making it easy to search and browse available datasets. It is a fully customisable metadata catalogue that adheres to the FAIR data principles, and supports widely used Common Data Models.

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FAIR

Based on the FAIR principles

Our FAIR Data Services are built on the FAIR principles to ensure that data is:

F A I R

Findable

Metadata and data should be easy to find for both humans and computers.

Accessible

Once the user finds the required data, they need to know how it can be accessed, including authentication and authorisation.

Interoperable

Data needs to interoperate with applications or workflows for analysis, storage, and processing.

Reusable

The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.

Manage
A diagram of a database

Easily manage your data holdings

An intuitive dataset creation wizard makes it easy for data owners to add their data to FAIR. Data can be ingested into FAIR’s secure internal storage, hosted in the owners own site for direct access, or onboarded as a federated dataset.

Common Data Models

Support for Common Data Models

FAIR supports the use of widely adopted Common Data Models, making it easy for users to onboard and manage datasets in the OMOP and SDTM formats.

OMOP in the DRE

Working with the OMOP CDM in the Aridhia DRE

A diagram illustrating common data models
Customise
A diagram illustrating a data subset

Customise and configure

A wide range of customisation and configuration options*, including customisable catalogue metadata templates and fully configurable data access request workflows, allowing data owners to use their own process for managing data access requests.

* Available to DRE Enterprise users only.

Cohort Builder
A diagram illustrating a data subset

Explore cohorts within datasets

Use our Cohort Builder to visualise and subset datasets before requesting. Save cohorts and share them with your collaborators.

Data Access Request

Easily request and transfer data

Fully integrated data access requests, allowing users to submit DARs directly to data owners and then transfer to a secure workspace on approval.

Workspaces

On-demand, secure, analytical environments that you can access anytime, anywhere. Built to enable project collaboration, data sharing and analysis.

A diagram of a DAR workflow
Platform Options

Your DRE, delivered how you need it.

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.

Aridhia DRE SaaS

SaaS

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.

Aridhia DRE Enterprise

Enterprise

A single-tenanted trusted research environment, aimed at larger enterprises and initiatives, which can be hosted in the Azure region of your choice.

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