Preprint Open Access

The 'Five Safes': a framework for planning, designing and evaluating data access solutions

Ritchie, Felix

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="" xmlns="" xsi:schemaLocation="">
  <identifier identifierType="DOI">10.5281/zenodo.897821</identifier>
      <creatorName>Ritchie, Felix</creatorName>
      <affiliation>Administrative Data Research Network</affiliation>
    <title>The 'Five Safes': a framework for planning, designing and evaluating data access solutions</title>
    <subject>data access</subject>
    <subject>Five Safes</subject>
    <date dateType="Issued">2017-09-20</date>
  <resourceType resourceTypeGeneral="Text">Preprint</resourceType>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.897820</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf"></relatedIdentifier>
    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The ‘Five Safes’ is a popular way to structure thinking about data access solutions. Originally used mainly by statistical agencies and social science academics, in recent years it has been adopted more widely across government, health organisations and private sector bodies. This paper explains the Five Safes, how the concept is used to organise and simplify decision-making, and how it helps to address concerns of different constituencies. We show how it aligns to recent regulation, anticipating the shift towards multi-dimensional data management strategies. We provide a number of practical examples as case studies for further information. We also briefly consider what issues the Five Safes does not address, and how the framework sits within a wider body of work on data access which challenges traditional data access models.&lt;/p&gt;</description>
All versions This version
Views 1,3951,395
Downloads 533533
Data volume 161.4 MB161.4 MB
Unique views 1,3041,304
Unique downloads 468468


Cite as