This is a QFAB course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future QFAB registrations becoming Waitlisted.
 

Syllabus

●Understanding the context of working with sensitive data in health research

●Understanding researcher legal responsibilities

●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 dataset (synthetic data example)

●Identifying the benefits and limitations of the ‘Five Safes’ framework

Learning Objectives

●Assess a project using the ‘Five Safes’ framework

●Use the ‘Five Safes’ in different types of projects

●Identify the role of training when working with sensitive data

●Identify the role of governance when working with sensitive data

●Identify how trustworthiness is established when working with sensitive data

●Identify where to store sensitive data

●Use a risk assessment process within the ‘Five Safes’ framework

●Identify disclosure risk within a research project

●Select disclosure risk mitigations within a research project

●Apply basic de-identification techniques to a synthetic dataset

●Identify where to get further advice and help when working with sensitive data

●Apply decision-making to reduce disclosure risk

●Make decisions about ‘safe’ data sharing

●Work with others (e.g. technical people) in the use of the framework

About Research & analysis

Your research degree requires the ability to apply …'analytical and critical thinking skills to generate new knowledge, investigate problems and develop inventive solutions.' (UQ HDR Graduate Attributes, 2017) This starts with the way you design your project, your review of existing literature, the methodologies you use and the analysis you apply. Building these skills during your research degree will equip you to engage these same skills in your future career and apply them in a wide variety of contexts. 

Research methods

The Graduate School has a range of research methods sessions available.

Qualitative Research Institute for Social Science Research (ISSR) Queensland Facility for Advanced Bioinformatics (QFAB)

Library workshops

The library offers a range of workshops under the headings below. 

R and Python Research data management Data visualisation

Useful links

  • RStudio cheat sheets
  • Data Management at UQ (UQRDM) 
  • Sage Research Methods 
  • Join Sage’s Methodspace 
  • Publons Academy: A free online course for peer reviewers
  • Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc​) to get the latest announcements. Aside from the usual IT research questions, 
    • First Tuesday of the monthBioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
    • Last Tuesday of the monthBioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab