Peer Reviewer Resource: Broadening your assessment of research contributions and impacts
February 2024

As a signatory of DORA, CIHR has aligned the Project Grant competition, Awards programs, and Priority Driven Research programs with DORA's recommendations to funders. As such, the guidance to Peer Reviewers, Chairs and Scientific Officers within these programs has been updated.

To support peer reviewers in implementing DORA in their reviews, Chairs and Scientific Officers will do the following:

Reviewing in alignment with DORA principles means assessing productivity and progress broadly, recognizing broad research outputs, while taking the context of the applicant into consideration.

In addition, when completing their assessments, reviewers should only consider the information provided by applicants in their applications. It is important to avoid making assumptions to “fill in the blanks” in an application, which can lead to bias in peer review. The onus is on the applicant to address the funding opportunity criteria and make the case to reviewers that their application is meritorious for funding.

Applicants have the opportunity to highlight the quality and impact of their research contributions (whatever their form), for example, through the summary of progress or most significant contributions sections of their application.

Examples of comments that are misaligned with DORA principles and suggestions for improvement:

Example 1: A comment that uses journal-based metrics as a surrogate measure of quality, for example:

What to do: Peer reviewers should reframe the comment to remove reference to journal-based metrics and instead focus on the scientific content of the applicant’s publications, rather than publication metrics.

The reviewer can consider commenting on:

Example 1, reframed:

Example 2: A reviewer refers to an applicant as “unproductive” or “productive” without added justification and/or with consideration of grant or journal-based metrics alone.

What to do: Peer reviewers should reflect on their assessment of the applicant’s productivity, keeping in mind that it is necessary to consider a broad range of research outputs (e.g., research publications, training and mentorship, knowledge mobilization activities, datasets, etc.), with attention to quality and impact. It is equally important to avoid consideration of the number of publications, or the journals they have published in, in isolation, as signs of productivity.

Example 2, reframed:

The Peer Reviewer resource, Broadening your assessment of research contributions and impacts and Applicant resource, How to highlight your resea rch contributions and impacts provide practical tips to support DORA-related guidance.

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