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Case Study, ONS Census 2021, Engineering for data confidentiality, anonymis...

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London

Level 39

ONE CANADA SQUARE

London

E14 5AB

United Kingdom

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For Statisticians, Data Managers and Data Controllers

Organisations seek to publish more data whilst meeting tough regulatory requirements. Disseminating data safely presents significant challenges around data privacy and data protection. This event looks at 1) a broad framework for data protection, 2) how the ONS is looking to use modern technology to protect Census 2021 data and 3) the legal considerations for data publishing as required by GDPR.

The Office for National Statistics (ONS) UK, is a trusted organisation: it commits to ensuring that the personal information people provide will be kept safe and secure. It’s using a new approach to deliver Census 2021 data safely and more rapidly by automating statistical disclosure control. We want to tell the story so far and share the experiences and technological challenges associated with the project. Its a public/private sector initiative. We’d also like to help people navigate through the options for keeping data confidential whilst giving the broadest access possible. We'll examine the approaches to data anonymization, disclosure control and differential privacy.

AGENDA

08:30 Registration, refreshments and danish

09:15 Understanding Anonymisation and the Anonymisation Decision Making Framework
Prof Mark Elliot, University of Manchester

This model can be applied to any data where confidentiality is an issue and where sharing data is valuable. It will look specifically at people and organisations dealing with personal data.

09:45 - Statistical Data Protection - digitally enabling freedom of choice, the Office for National Statistics Case Study.
Samantha Hall Transformation Lead, Digital Publishing at Office for National Statistics
Darren Barnes Transformation Team, Digital Publishing at Office for National Statistics

How the ONS has approached one its toughest challenges - how to increase the use of 2021 Census data whilst reassuring the public that their information is protected. How an exploration into enabling access more quickly, more dynamically and with increased level of choice has highlighted the complexity of protecting statistical data in the modern world.

10:15 - Refreshments

10:30 - Building a flexible dissemination tool for Census data
Duncan Harris: Privacy Engineering, Sensible Code

A tour of at the technical challenges in developing software that implements post-tabular statistical disclosure control. Implementation of Census 2021 adaptation of the cell-key method and use with SDC rule evaluation to allow selective publication of user constructed tables by geographical area.

11:00 - Releasing data into the wild under General Data Protection Regulation – risks & compliance issues
Dr W Kuan Hon, Director, Fieldfisher; Editor, Encyclopedia of Data Protection & Privacy; Fellow, ODI

The GDPR applies from 25 May 2018 in all EU Member States including the UK. This presentation will dispel some myths about what the GDPR will involve, and cover some key issues under the GDPR on the publication of data.

11:35 - Panel Discussion

12:00 - Refreshments and light lunch

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Background

Blog and Video Engineering confidentiality for Census 2021 — more data, more quickly and for more areas.

https://medium.com/@SensibleCode/engineering-privacy-for-census-2021-more-data-more-quickly-and-for-more-areas-a24439847973

Date and Time

Location

London

Level 39

ONE CANADA SQUARE

London

E14 5AB

United Kingdom

View Map

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