Structured Peer Review: Pilot results from 23 Elsevier Journals
Preprint — published as 10.7717/peerj.17514
Abstract
Background: Reviewers rarely comment on the same aspects of a manuscript, making it difficult to properly assess manuscripts’ quality and the quality of the peer review process. It was the goal of this pilot study to evaluate structured peer review implementation by: 1) exploring if and how reviewers answered structured peer review questions, 2) analysing reviewer agreement, 3) comparing that agreement to agreement before implementation of structured peer review, and 4) further enhancing the piloted set of structured peer review questions. Methods: Structured peer review consisting of 9 questions was piloted in August 2022 in 220 Elsevier journals. We randomly selected 10% of these journals across all fields and IF quartiles and included manuscripts that in the first 2 months of the pilot received 2 reviewer reports, leaving us with 107 manuscripts belonging to 23 journals. Eight questions had open ended fields, while the ninth question (on language editing) had only a yes/no option. Reviews could also leave Comments-to-Author and Comments-to-Editor . Answers were qualitatively analysed by two raters independently. Results: Almost all reviewers (n=196, 92%) filled out the answers to all questions even though these questions were not mandatory in the system. The longest answer (Md 27 words, IQR 11 to 68) was for reporting methods with sufficient details for replicability or reproducibility. Reviewers had highest (partial) agreement (of 72%) for assessing the flow and structure of the manuscript, and lowest (of 53%) for assessing if interpretation of results are supported by data, and for assessing if statistical analyses were appropriate and reported in sufficient detail (also 52%). Two thirds of reviewers (n=145, 68%) filled out the Comments-to-Author section, of which 105 (49%) resembled traditional peer review reports. Such reports contained a Md of 4 (IQR 3 to 5) topics covered by the structured questions. Absolute agreement regarding final recommendations (exact match of recommendation choice) was 41%, which was higher than what those journals had in the period of 2019 to 2021 (31% agreement, P=0.0275). Conclusions: Our preliminary results indicate that reviewers adapted to the new format of review successfully, and answered more topics than they covered in their traditional reports. Individual question analysis indicated highest disagreement regarding interpretation of results and conducting and reporting of statistical analyses. While structured peer review did lead to improvement in reviewer final recommendation agreements, this was not a randomized trial, and further studies should be done to corroborate this. Further research is also needed to determine if structured peer review leads to greater knowledge transfer or better improvement of manuscripts.
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A traditional way to enforce composition of peer review reports is to deploy structured and semi-structured reviewing forms-which has been shown to improve inter-rater agreement of decision recommendations.
“A traditional way to enforce composition of peer review reports is to deploy structured and semi-structured reviewing forms-which has been shown to improve inter-rater agreement of decision recommendations (Malički and Mehmani, 2024).”
From What Can Natural Language Processing Do for Peer Review? (2024) · cites this paper as Malički and Mehmani, 2024
The Inter-rater agreement section reports higher agreement on final recommendations under structured review than in the same journals before implementation (41% versus 31%). But the Discussion says the pilot was not randomized and lacked a direct comparison with traditional reports for the same manuscripts. It therefore supports an association, not the claim that reviewing forms have been shown to improve agreement. (LLM, conf=0.86)
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What Can Natural Language Processing Do for Peer Review?
Kuznetsov, I., Afzal, O. M., Dercksen, K., Dycke, N., Goldberg, A., Hope, T., Hovy, D., Kummerfeld, J. K., Lauscher, A., Leyton-Brown, K., et al. (2024) · arXiv · doi:10.48550/arxiv.2405.06563 · Cited by 6 · see citing works
- Authors
- Malički, M., & Mehmani, B.
- Publisher
- openRxiv
- Published
- 2024-02-04
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- 3
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- Preprint
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