Sharing data to study peer review as part of PEERE protocol

Together with Springer Nature and Wiley, Elsevier is participating in a major collaborative effort with academia to improve the quality, efficiency and sustainability of peer review


Peer review is a cornerstone of science, but the quality and efficiency depends on a complex, large-scale collaboration process that is sensitive to motivations, incentives and institutional contexts.

A new protocol called PEERE: New Frontiers of Peer Review aims to improve efficiency, transparency and accountability of peer review through a trans-disciplinary, cross-sectorial collaboration. The objective is to analyze peer review in different scientific areas and evaluate the implications of different models of peer review. PEERE is a new action from COST, the longest running European framework supporting transnational cooperation among researchers, engineers and scholars across Europe. It is also seeking new incentive structures, rules and measures to improve collaboration in all stages of the peer review process.

To help PEERE achieve this goal, Elsevier, Springer Nature and Wiley have agreed on a data sharing protocol that enables PEERE to have access to peer review data for some of their journals.

PEERE consists of three working groups. Working group 1 is focused on theory, analysis and models of peer review.  Working group 2, which I am involved with along with representatives from Springer Nature and Wiley, studies the impact of different models of peer review on the quality and efficiency of the process. Working group 3 facilitates research collaboration between PEERE members and manages the implementation of PEERE agenda.

The data sharing protocol will make it possible to run these studies on a large scale rather than using piecemeal journal data; the scale will enable researchers to make general and evidence-based conclusions, which will boost research on the topic of peer review and eventually will help our journal editors to make better decisions when it comes to peer review models.

Elsevier’s editors have nominated 70 journals across various disciplines and with different peer review models to share their peer review data with PEERE. Similar samples have been gathered by Wiley and Springer Nature.

Other partnerships

Elsevier collaborates with a wide range of organizations and institutions for the advancement of scientific research. Here is a sample:


Written by

Bahar Mehmani, PhD

Written by

Bahar Mehmani, PhD

Dr. Bahar Mehmani is Reviewer Experience Lead in the Global STM journals at Elsevier. She works on several peer review initiatives and projects, all of which are designed to recognize reviewers' contribution to the progress of science. Bahar is co-chair of Peer Review Week 2020 Events and International Outreach committee, Vice-chair of the peer review committee and council member of the European Association of Science Editors (EASE). She received her PhD in Theoretical Physics from the University of Amsterdam (UvA) in 2010. Before joining Elsevier, she was a postdoc researcher at Max Planck Institute for the Science of Light (MPL).

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