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Training Course: Anonymization and Pseudonymization Methods Under the GDPR

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IQVIA London, Russell Room, 6th Floor

210 Pentonville Road

London

N1 9JY

United Kingdom

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Training Course: Anonymization and Pseudonymization Methods Under the GDPR

This course is essential for:

Executives and consultants who must make informed decisions regarding data privacy for Personally Identifiable Information (PII).

About the course:

Responsibly Sharing PII

The best way to responsibly share protected personally identifiable information is by applying a risk-based de-identification methodology. Privacy Analytics is pleased to offer training that teaches organizations how to safely and securely share their data assets while minimizing the risk of re-identification.

Doing More with Data under the GDPR: An Enterprise Framework for Implementing Pseudonymization and Anonymization

The General Data Protection Regulation (GDPR) provides multiple bases for using and disclosing data for secondary purposes. These include anonymization, consent, and public interest, among others. Secondary purposes would cover many big data projects, product development, marketing, as well as commercial research projects.

In this course, Privacy Analytics will provide an overview of these legal bases, with a detailed description of an enterprise pseudonymization and anonymization methodology. This risk-based methodology is consistent with best practices for anonymization, and has been applied for more than a decade globally to facilitate the sharing and secondary use of data.

The course structure consists of on-line and in-person lectures and hands-on exercises to allow participants to understand the steps and decisions that need to be made when implementing pseudonymization and anonymization methods.

Course Outline

Module 1 – Doing More with Data Under the GDPR

A discussion of the legal bases for using and disclosing information for secondary purposes under the GDPR, and when each can be applied.

Module 2 – Concepts and Definitions

An overview of known re-identification attacks, analysis of different data release models and classification of identifiers.

Module 3 – Risk Measurement Concepts

An introduction to equivalence classes, and discussion of various risk types & metrics, and their relevance to various anonymization use cases.

Module 4 – Analysis of Context Risk

Descriptions of different types of attacks and how to evaluate the risk of them re-identifying data subjects. This module also covers choosing an acceptable threshold for the risk of re-identification based on the characteristics of the dataset.

Module 5 – Data Transformation Methods

Methods to mask direct identifiers and de-identify quasi-identifiers.

Module 6 – Risk Management and Reporting

Determining if the risk is below an acceptable threshold. Creating a report and documenting that the risk of re-identification is very small.

About the Course Leader

Luk Arbuckle, Chief Methodologist, Privacy Analytics, has nearly a decade of experience in the field of anonymization, and is co-author of Anonymizing Health Data: Case Studies and Methods to Get You Started (O’Reilly Media, 2013). Mr. Arbuckle was formerly Director of Technology Analysis at the Office of the Privacy Commissioner of Canada; Research Manager and Data Scientist at the Children’s hospital of Eastern Ontario (CHEO) Research Institute; and Director of Analytics at Privacy Analytics. He holds multiple graduate degrees and was awarded numerous scholarships and bursaries, including a Canada Graduate Scholarship doctoral award. He was a featured speaker at MIT’s CDOIQ 2018 Symposium.

Methodology Course Details

Date: Wednesday September 26th through Thursday September 27th, 2018

Time: 9:30 a.m. - 5:00 p.m. (BST)

Location: IQVIA, 6th floor, 210 Pentonville Road, N1 9JY, London, UK *Lunch will be provided on both days.*

Register now, please note seats are limited.

Questions? Email marketing@privacy-analytics.com

Privacy Analytics reserves the right to change or cancel the course at any time. In case of such an event, Privacy Analytics is not responsible for rebooking/cancellation fees.

To learn more about Privacy Analytics, please visit: www.privacy-analytics.com

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Date and Time

Location

IQVIA London, Russell Room, 6th Floor

210 Pentonville Road

London

N1 9JY

United Kingdom

View Map

Refund Policy

No Refunds

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