The University of Southampton
University of Southampton Institutional Repository

The de-identification decision-making framework

The de-identification decision-making framework
The de-identification decision-making framework
We’ve developed a practical guide to de-identification for government agencies and businesses including not-for-profit and private sector organisations. Our framework can help data custodians to identify and address the key factors relevant to their particular data sharing or release situation, including privacy risk analysis and control, stakeholder engagement, and impact management.

De-identification is not an exact science and, even using the De-Identification Decision-Making Framework (DDF), it requires complex judgement calls. The DDF is intended to help data custodians make sound decisions based on best practice, but it is not a step-by-step algorithm. We recommend that users seek expert advice on the de-identification process, particularly with the more technical risk analysis and control activities.
Anonymisation, de-identification, privacy, data protection
CSIRO
O'Keefe, Christine M.
69b2be22-4f9e-423a-b4bd-43b97e349cec
Otarepec, Stephanie
c3d03b1f-9714-4897-ad0d-6dd2a53ec05a
Elliot, Mark
47343e95-6142-418d-a1c2-422bdb461fbf
Mackey, Elaine
4cd949a1-18ac-4b6e-bbdc-18e2be4e4f93
O'hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4
O'Keefe, Christine M.
69b2be22-4f9e-423a-b4bd-43b97e349cec
Otarepec, Stephanie
c3d03b1f-9714-4897-ad0d-6dd2a53ec05a
Elliot, Mark
47343e95-6142-418d-a1c2-422bdb461fbf
Mackey, Elaine
4cd949a1-18ac-4b6e-bbdc-18e2be4e4f93
O'hara, Kieron
0a64a4b1-efb5-45d1-a4c2-77783f18f0c4

O'Keefe, Christine M., Otarepec, Stephanie, Elliot, Mark, Mackey, Elaine and O'hara, Kieron (2017) The de-identification decision-making framework , CSIRO, 156pp.

Record type: Book

Abstract

We’ve developed a practical guide to de-identification for government agencies and businesses including not-for-profit and private sector organisations. Our framework can help data custodians to identify and address the key factors relevant to their particular data sharing or release situation, including privacy risk analysis and control, stakeholder engagement, and impact management.

De-identification is not an exact science and, even using the De-Identification Decision-Making Framework (DDF), it requires complex judgement calls. The DDF is intended to help data custodians make sound decisions based on best practice, but it is not a step-by-step algorithm. We recommend that users seek expert advice on the de-identification process, particularly with the more technical risk analysis and control activities.

Full text not available from this repository.

More information

Published date: October 2017
Keywords: Anonymisation, de-identification, privacy, data protection

Identifiers

Local EPrints ID: 417646
URI: http://eprints.soton.ac.uk/id/eprint/417646
PURE UUID: ec6d89cb-a11f-4f4e-bcf4-78cf2e8363fb
ORCID for Kieron O'hara: ORCID iD orcid.org/0000-0002-9051-4456

Catalogue record

Date deposited: 08 Feb 2018 17:30
Last modified: 05 May 2020 00:28

Export record

Contributors

Author: Christine M. O'Keefe
Author: Stephanie Otarepec
Author: Mark Elliot
Author: Elaine Mackey
Author: Kieron O'hara ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×