What a PCI RR recommender does
A PCI RR recommender is analogous to an action editor at a peer reviewed journal. The recommender invites and assigns expert reviewers, assesses submissions and the reviews against the assessment criteria, and issues Stage 1 and Stage 2 recommendations (including writing a brief recommendation at the point of Stage 1 in principle acceptance). Recommenders typically handle submissions either within or close to their specialism. They are expected to comply with PCI RR's code of conduct, and are eligible for selection as a member of the Managing Board for a three-year term. A recommender can also propose the nomination of new recommenders to the Managing Board. See the PCI RR Guidelines for Recommenders for more information on the key roles and responsibilities.
PCI RR training and conflict of interest declaration
Interested in becoming a recommender at PCI RR?
Send us an email: firstname.lastname@example.org. We generally select people who are post PhD, conduct independent research, and have at least a handfull of first author articles (to ensure people have some experience with the publishing process). PCI has signed the Joint Statement of Principles of the Coalition for Diversity and Inclusion in Scholarly Communication, and we at PCI RR fully support this. We aim to have strong representation across fields of research, geographic regions, genders, and in other areas where some groups of people have been traditionally underrepresented in academia.
When you enquire about becoming a recommender, we will add you to our waitlist, which must be approved by the Managing Board. Those who are approved by the Managing Board will then be invited in waves that are balanced for diversity. If you would like to help speed up the process, you can find colleagues from groups who are traditionally underrepresented in academia and encourage them to request to become a recommender as well. For more information about underrepresented groups and academic publishing, please see Maas et al. (2021), Palser et al. (2021), and Eisen (2020).