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The ‘Five Safes’ framework for data access management

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Presentation on theme: "The ‘Five Safes’ framework for data access management"— Presentation transcript:

1 The ‘Five Safes’ framework for data access management
Felix Ritchie University of the West of England, Bristol presented by Tanvi Desai Data Strategy and Policy 4th July 2018

2 What is the most important factor in data access?
Overlapping problems: ‘Five Safes’: framework for structuring decision-making anonymisation IT users allowed use publication model

3 ‘Five safes’ approach The Five Safes = safe use Five components:
safe projects safe people safe settings safe data safe outputs = safe use Five components: Is this an appropriate use of the data? How trustworthy are the researchers? Does the environment prevent misuse? Is the data detail appropriate? Is there any confidentiality risk from publication? Consider jointly and severally

4 Scales, not targets Balance is the key:
Similarities to multiple-criteria decision analysis

5 Just ‘another’ management fashion?
Don’t we already have standards? Yes! Five Safes is a framework to support effective decision making around choice and implementation of existing standards

6 Just ‘another’ management fashion?
The Five Safes safe projects safe people safe settings safe data safe outputs Existing standards/best practice Ethical committees Best practice training InfoSec, ISO27001 Extensive literature Minimal literature Making effective decisions using those standards

7 ‘Five safes’ and modern law
Consistent with developments in legislation Simple ‘it’s your fault’ models becoming indefensible Older legislation: data-centred Anonymised vs identifiable Little about confidentiality management Modern legislation (GDPR, DEA): user-centred Confidentiality through combinations of tech, procedure – and detail reduction DEA explicitly based around five safes Accreditation of processes much more important

8 Types of use Description and evaluation Design Training
Statistical authorities, data archives, HMRC, Cancer Research UK, Health Foundation, NIST, Scottish Health Informatics Project, American Academy of Sciences, RCUK, OECD, Eurostat… Design ADRN, Australian Bureau of Social Services, Greek Statistical Authority, Nepalese Injury Research Centre… Training DEA-accredited Safe Researcher Training, university governance, big data ethics…

9 Summary Around for 15 years Well established, esp in UK, Australia, NZ
Part of a suite of evidence-based data access work Framework for making decisions, not the decisions attitudes assessment of benefits ethics, culture etc next set of presentations: Settings/ skills Use example

10 Thank you

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