Proposal for 'segmented peer review' of multidisciplinary papers.

Multidisciplinary Peer-review Translational research

Journal

Translational oncology
ISSN: 1936-5233
Titre abrégé: Transl Oncol
Pays: United States
ID NLM: 101472619

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 16 11 2020
revised: 01 12 2020
accepted: 02 12 2020
pubmed: 18 12 2020
medline: 18 12 2020
entrez: 17 12 2020
Statut: ppublish

Résumé

We propose a new process for peer review of multidisciplinary journal submissions called 'segmented peer review'. The current translational research environment increasingly requires complex and multidisciplinary studies that span multiple distinct specialties within a single paper. Such papers present logistic and practical barriers to effective peer review. To address these barriers, papers undergoing segmented peer review require authors to explicitly i) identify each of the areas of expertise required to review the paper, ii) direct each reviewer to the relevant portions of the manuscript, and iii) suggest in-field reviewers. This segmentation of the paper is then followed by a 'segmented peer review request' tailored to the expertise of each potential reviewer, with a request to confine his / her review to those 'in-scope' aspects of the paper, while de-emphasizing any optional 'out-of-scope' comments. Each reviewer indicates the fitness for publication, or suitability for revision, of their particular segment of the manuscript. The segmented peer review process is completed when the editors integrate the segmented peer reviews. We propose segmented peer review as a fit-for-purpose process with tangible advantages for authors, reviewers, and journal editors. It should reduce the specific barriers to publication inherent in the evaluation of multidisciplinary research efforts.

Identifiants

pubmed: 33333371
pii: S1936-5233(20)30477-0
doi: 10.1016/j.tranon.2020.100985
pmc: PMC7736718
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100985

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None

Auteurs

Deepak Dinakaran (D)

Departments of Radiation and Medical Oncology, Cross Cancer Institute and The Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.

Matthew Anaka (M)

Departments of Radiation and Medical Oncology, Cross Cancer Institute and The Department of Oncology, University of Alberta, Edmonton, Alberta, Canada.

John R Mackey (JR)

Departments of Radiation and Medical Oncology, Cross Cancer Institute and The Department of Oncology, University of Alberta, Edmonton, Alberta, Canada. Electronic address: john.mackey@albertahealthservices.ca.

Classifications MeSH