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Locking the front door without leaving the windows open: positioning authentication technologies within the "Five Safes" framework for effective use of sensitive research data

Authors: Churches, Tim; Jorm, Louisa;

Locking the front door without leaving the windows open: positioning authentication technologies within the "Five Safes" framework for effective use of sensitive research data

Abstract

This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments. This project seeks to position choices around authentication technologies within the Five Safes framework for research use of sensitive data, proposed in 2003 by Felix Ritchie of the UK Office of National Statistics: • Safe Projects: is the proposed research use of the data appropriate? • Safe People: can the users be trusted to use the data in an appropriate manner? • Safe Settings: does the access facility limit unauthorised use? • Safe Data: is there a disclosure risk in the data itself? • Safe Outputs: are the research results non-disclosive i.e. they do not compromise privacy or breach confidentiality?

Related Organizations
Keywords

Infrastructure, eResearch, Storage and Compute Summit, NCRIS, training material, ARDC, FAIR

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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