alan-turing-institute / data-classification-app

Classification webapp for the Turing Data Safe Haven
MIT License
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UKRI Cloud Workshop 2022 - complete a working draft by 14/03/22 #424

Closed rosselton closed 2 years ago

rosselton commented 2 years ago

Abstract

Data Safe Havens provide a secure and robust research environment for dataset exploration. This data may be sensitive in nature and the Data Safe Haven gives institutions a trusted environment in which to develop and extend their research. Safe Havens require a level of security classification from where no sensitive data is used, to the highest level of security, such as those needed by governments and defence agencies.

The Data Safe Haven Classification app is a web-based Information Governance application that guides stakeholders through a process to determine the correct level of classification. Users have defined roles within the system and must answer a sequence of questions to determine the correct level of security. The app exists independently from the Safe Haven environment and allows the linking of multiple datasets across work packages, giving flexibility to institutions, while holding no sensitive data internally.

Work to improve and increase the portability of the classification app is underway with multiple institutions including University College London, Newcastle University, University of Cambridge and the Alan Turing Institute. This presentation will discuss features of the app and challenges in its distribution across different institutions, in terms of technology and policy.

rosselton commented 2 years ago

Suggested presentation structure/contents (15 mins)

rosselton commented 2 years ago

Need to submit a short talk title by 18th Feb.

rosselton commented 2 years ago

Theme

UKRI and Trusted Environments

Following the recent UKRI and DARE UK call to inform design of cross-council digital research environments, we are keen to hear from projects that are using cloud to enable research and collaboration with sensitive data. We are particularly keen to hear from groups that are awarded funding – to provide an early platform for the projects to share previous experience that helped them secure funding and hear what they aim to achieve, as well as how they plan to share their solutions with the wider community.

rosselton commented 2 years ago

Title submitted to the conference 'Data Safe Haven Classification app. Trusted environments in the cloud – extending a Turing Django based application across multiple institutions'

rosselton commented 2 years ago

Presentation draft in progress with reference to other previous conference talks and IG docs.

ChristinaLast commented 2 years ago

Christina Review

rosselton commented 2 years ago

Draft complete - open for review!