Updates to the Doctoral Research Awards Programs
Title
Welcome to this learning module for peer reviewers. The goal of this module is to provide the latest updates to the Doctoral Research Awards Programs.
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Updates to the Doctoral Research Awards Programs
For the 2024 Doctoral Research Awards Programs, there are three important updates for peer reviewers.
- Multi-factor authentication for ResearchNet
- The San Francisco Declaration on Research Assessment or DORA, and
- Artificial Intelligence and Grant Review
You can also explore the reviewers' guide for more information.
Multi-factor authentication for ResearchNet
CIHR is committed to keeping our systems secure and protecting our users' privacy. As part of this commitment, CIHR will be implementing multi-factor authentication (MFA) in ResearchNet in fall 2024.
The MFA process will be triggered when a user signs into ResearchNet. They will be required to enter a code that is sent to the email address connected to their ResearchNet account profile. MFA will apply to all users and cannot be skipped.
If you have any questions, please consult the Frequently Asked Questions or reach out to the Contact Centre.
Broadening your assessment of research contributions and impacts
The San Francisco Declaration on Research Assessment (also known as DORA) recognizes the need to improve the ways in which research is evaluated. It is therefore crucial that peer reviewers look broadly, beyond the traditional indicators of productivity, when assessing contributions and impacts. For example, rather than using metrics such as h-index to assess productivity, consider the context of the applicant and focus on assessing quality and impact directly. Some examples of historically valued indicators and additional valuable research outputs are listed here. Visit our website to learn more about broadening your assessment of research contributions and impacts.
Artificial Intelligence and Award Review
With the rise of powerful artificial intelligence tools, peer reviewers are responsible for reading applications assigned to them, and writing fair and rigorous reviews. Our colleagues at the National Institutes of Health have recently noted that copying and pasting applications, proposals, or meeting materials into AI platforms constitutes a breach of confidentiality.
Matters related to plagiarism are currently covered by the Tri-Agency Framework: Responsible Conduct of Research. Reviewers should also be familiar with the College of Reviewer's guidelines on Review Quality.
The use of artificial intelligence is a rapidly evolving issue, and we are already working with our Tri-agency colleagues on how best to provide consistent guidance to the Canadian research community on this matter.
Additional Resources
The resources listed on screen will provide you with additional details to prepare you for reviewing applications in the Doctoral Research Awards Programs.
You may choose to exit the module and return to the learning page or continue your learning with the module: Reviewing for the Doctoral Research Awards Programs.
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