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Anonymisation is for Everyone

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Helping you bring a structured approach to anonymisation

There has been an explosion in the collection, usage and sharing of personal data. Regulations protecting personal and personally-identifiable data mean that both individuals and companies are increasingly reluctant to share data that could bring huge benefits to everyone.

Could anonymisation provide the answer and how can you begin to apply it to data?

This course will introduce the latest thinking on anonymisation and work through a practical exercise in anonymising data while maintaining utility and minimising risk. Through the practical exercise, we will explore the needs of different stakeholders, both internal and external and explore how tools like the ODI Data Ethics Canvas and Consequence Scanning toolkit can help.

More about the course

Who is this course for?

This course aims to help decision-makers such as compliance professionals, technical managers, product owners, and service managers bring a structured approach to anonymisation to the projects they are leading.

Course prerequisites

This course is designed to meet the needs of decision-makers. Hence, no prerequisites required other than the desire to learn!

Learning experience and course delivery

The aim of this course is to help those who want to make (potentially re-identifiable) data more accessible – and to do so in a way that minimises the risks of re-identification, protects citizens’ privacy, and increases the social and economic value created from that data.

By the end of this course you will be able to:

  • Describe what anonymisation is and its benefits;
  • Evaluate when anonymisation needs to be applied and when does it not;
  • Explain a number of case-studies in data anonymisation;
  • Identify different anonymisation techniques in practice;
  • Describe key aspects of current regulatory frameworks concerning anonymisation;
  • Apply a number of anonymisation techniques to data;
  • Analyse the utility-risk trade-off when sharing data with stakeholders;
  • Use a number of practical tools to help maximise data utility while minimising risk;
Course cost

Anonymisation is for Everyone is currently available for group bookings only (up to 18 participants). Content can be tailored to your organisation’s context and needs.

Contact our learning team to discuss dates, pricing and a delivery plan. Discounted rates are available for lower or middle-income countries and larger cohorts.

Running this course with your team

This course is run for groups of up to 18 people, and we can tailor our content to your context and needs.

We can work with you to identify the data skills required across your business, creating training that meets your organisation’s needs.

Contact our learning team to discuss how we can improve your organisation’s data literacy.

FAQs

How many places/people are on each course? 

Each group booking is for up to 18 participants.

Is there a limit to the number of people from my company that can attend?

Yes, there is a maximum of 3 places per organisation. If you are interested in booking more than 3 places for your organisation, please contact training@theodi.org.

About this course

This course was created by and is © The Open Data Institute. It was developed with the help of funding from the Erasmus+ programme of the European Union under the Open Data Education project.

What you'll learn

When anonymisation needs to be applied and when does it not
Key aspects of current regulatory frameworks concerning anonymisation.
Identify different anonymisation techniques in practice
A number of practical tools to help maximise data utility while minimising risk.

Book Anonymisation is for Everyone

Book a group with the ODI

This course is tutor-led and currently available for group bookings only (up to 18 people). We can tailor the content to your organisation’s context and needs.

Contact our learning team to discuss dates, pricing and a delivery plan. Discounted rates are available for lower or middle-income countries and larger cohorts.

Digital Analyst, Boots

"The assignments were the highlight of the course. They were well designed – it’s good to use real live data from a different sphere than I’m used to working in. And I really liked how they built on the previous assignment learnings.”

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