Protecting Privacy in Data-Driven Research

Data analytics has revolutionized research across various fields, including behavioural sciences. However, the collection and analysis of personal data raises significant privacy concerns. To ensure ethical and responsible research practices, UBC faculty and staff must understand and adhere to privacy principles and best practices.

Key Privacy Considerations:

• Ethics Review: Most research involving human participants requires ethics review to ensure ethical conduct and participant protection.
• Data Security: Implementing robust data security measures is crucial to safeguard personal information from unauthorized access and breaches.
• Data Management: Effective data management practices, including data minimization, storage, and disposal, are essential to maintain data privacy.

Go Further…

For a deeper understanding of privacy implications and best practices in data analytics, we recommend exploring the following resources:

• Office of Research Ethics: Provides guidance on ethics review processes and guidelines.
• Advanced Research Computing (ARC): Offers resources on data management, security, and privacy.
• Office of the Chief Information Officer (OCIO): Provides guidance on information security and privacy compliance.