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 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, in order to maintain data utility while minimising risk.
The aim of this course is 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.
The learning outcomes of this course are designed to enable participants 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