Turing Data Safe Haven: An open, reproducibly deployable, cloud-based Trusted Research Environment
Date: 2023-03-21

https://doi.org/10.5281/zenodo.7646619

Researchers often need to analyse sensitive data in order to answer important questions for health, government and society. Balancing the need to protect individual privacy and commercial confidentiality with the need to ensure that reliable insights can be made using sensitive data is challenging, and Trusted Research Environments (TREs) that provide secure analysis environments for working with sensitive data are a key part of striking this balance.

The Alan Turing Institute has recently open-sourced its Data Safe Haven, a secure, scalable, reproducibly deployable, cloud-based TRE that we have been using for the last 4 years to support our researchers in working safely and productively with sensitive data. By openly publishing the code and documentation required to deploy, configure and manage a Data Safe Haven instance, we make it easier for others to deploy their own Trusted Research Environments, reducing the effort required to support their researchers in working safely with sensitive data.

We've also been working closely with the wider community to better align work in this area, initially on the development of the information governance principals and design choices for our Data Safe Haven, which we published in 2019. More recently, we've been working closely with the DARE UK programme to define common requirements for Trusted Research Environments and have co-founded the RSE TRE Community, bringing together those who are developing and deploying TREs to more closely co-ordinate our work.

In this talk we will give an overview of the Turing's Data Safe Haven and the information governance and design principals behind it, as well as the work we have been doing with the wider community to develop a common set of TRE requirements and to co-ordinate across organisations on the development, deployment and management of TREs.

Originally presented on 15 February 2023 at the Research Software Engineering in Data and AI workshop hosted by The Alan Turing Institute and The University of Warwick (15-17 February 2023).

Chapters:
00:00 Introduction
02:42 Why do we need the Data Safe Haven?
12:40 What is the Data Safe Haven?
13:28 Governance: Overview
15:00 Governance: Work packages vs datasets
18:09 Governance: Sensitivity tiers
22:05 Governance: Sensitivity classification workflow
25:17 Infrastructure: Technical controls
30:52 Infrastructure: Architecture
36:02 Infrastructure: Using the Data Safe Haven
39:45 Community: Overview
41:09 Community: Open source
43:54 Community: Shared Standards
46:30 Community: Collaboration
49:29 What's next?
50:16 The team and contributor community
50:29 Get involved!