Research integrity in HDR training (student only session) [webinar]
This session will introduce candidates to the research integrity framework within which they will operate while at UQ. It will explain the basis of research integrity policies, the principal polices, advisors' and candidates' main obligations, and the key sources of support and guidance that are available. The session will also cover issues such as conflict of interest (COI), plagiarism and authorship, copyright issues, intellectual property, patents and trademarks.
This course will enable participants to:
1. Understand the principles behind research integrity policies, and the national and international codes which influence UQ
2. Understand the policy framework within UQ
3. Identify and discuss the sorts of research integrity issues that commonly arise
4. Identify the key sources of support and guidance for HDR candidates at UQ
This is an interactive workshop and you are expected to have discussions with other workshop participants, so please ensure you are in a location that allows for open conversation.
[This workshop differs from the mandatory online Research Integrity module which must still be completed as part of the Early Candidature Checkpoint.]
About Integrity and ethics
The responsible conduct of research – including adherence to ethical and professional protocols in research practice and publication – forms the basis of research which is trusted and valued in the broader community. The integrity of research therefore, relies on researchers who act responsibly and follow the relevant codes of practice.
- The UQ Research Integrity Module will provide you with a grounding in research integrity and ethics to begin your candidature.
Useful links
- The Ethics and integrity unit at UQ: Check out the webpage for reguarly scheduled Ethics drop in sessions
- UQ Ethics and integrity workflows: Human ethics and Animal ethics, and Integrity
- Principles of responsible research at UQ: Your responsibility as a researcher
- Academic integrity at UQ
- Think Check Submit: Choosing the right journal
- Learn how to use Data ethically.