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Security in Aridhia’s Digital Research Environment: Five Safes

As the Aridhia Digital Research Environment (DRE) has developed from its early days as an on-premises implementation through to a modern cloud-native service, we have tried to balance two principal requirements from our user community. That is, to meet the functionality required by data scientists to conduct their research whilst also satisfying the governance and controls required by information security teams within a healthcare setting.

Data scientists want to creatively analyse varied types of data, often at scale and at speed, using a variety of paradigms and tools. They work in what is essentially a research and development role, therefore freedom to operate on some level is required to produce outcomes which can be translational in their field of study. Information security teams however, must consider the risk to privacy and security of any sensitive data, given the organisation’s obligations to individuals, data contributors, and the legal authorities.

In this paper we will discuss the design and implementation choices made in Aridhia’s Digital Research Environment to achieve this balance of usability and security.

You can find the full text for the publication below.

Bryce R


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