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Anonymisation is for Everyone

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Event description
The latest thinking on anonymisation and work through a practical exercise in anonymising data while maintaining utility and minimising risk

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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 explore how to develop and maintain trusted data infrastructure. We’ll look at the different needs of stakeholders and how to handle these with design, communication, and technical skills. The goal is to maintain data utility while minimising risk.

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;
  • Develop and maintain a trusted data infrastructure between stakeholders;

Target audience

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.


This course is designed to meet the needs of decision-makers. No prerequisite experience is required.


This course was developed from one of the ODI's R&D projects - Managing the Risk of Re-Identification. The project explored how to help organisations 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. It aimed to help organisations reduce the risks of re-identification when sharing or opening data, by providing them with practical tools and accessible knowledge to recognise and manage those risks.

For more training courses from the ODI, visit https://theodi.org/events/courses/

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Organiser Open Data Institute (ODI)

Organiser of Anonymisation is for Everyone

The ODI was co-founded in 2012 by the inventor of the web Sir Tim Berners-Lee and artificial intelligence expert Sir Nigel Shadbolt to show the value of open data, and to advocate for the innovative use of open data to affect positive change across the globe.

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