Working with sensitive data

This workshop uses practical and discussion-based training to inform researchers about the risks of working sensitive data in health research, and how to appropriately manage that data. It covers the "Five Safes" framework and researchers' legal responsibilities, and introduces ways to promote data security and mitigate disclosure risks.

Learning Objectives

  • Assess a project using the ‘Five Safes’ framework and use the ‘Five Safes’ in different types of projects
  • Recognise the role of training and governance when working with sensitive data
  • Identify where to store sensitive data and use a risk assessment process within the ‘Five Safes’ framework
  • Identify and mitigate disclosure risk within a research project
  • Apply basic de-identification techniques to a synthetic dataset
  • Discover where to get further advice and help when working with sensitive data

Syllabus

  • Understanding the context of working with sensitive data
  • Understanding researcher legal responsibilities and assessing projects using the ‘Five Safes’ framework and a risk-based approach
  • Using the ‘Five Safes’ framework in data sharing decision making
  • Creating a de-identified/ de-sensitised dataset
  • Identifying the benefits and limitations of the ‘Five Safes’ framework

For more information contact training@qfab.org