Come learn about data de-identification approaches such as pseudonymization and anonymization so that you can accurately assess the de-identification technique best suited to your research data. We will provide an overview of relevant legislation and ethics associated with data privacy, ensuring that your data will be secure and in compliance with relevant requirements. In this workshop, we will:

• discuss how to balance access and privacy concerns
• explain various techniques for achieving de-identification of research data
• cover various techniques such as sampling, masking, shuffling, substitution, etc.
• show you how to avoid the risk of re-identification with your data
• explore current software available to aid in de-identification, including pros, cons, and associated costs