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Reimagining peer review as an expert elicitation process
Journal peer review regulates the flow of ideas through an academic discipline and thus has the power to shape what a research community knows, actively investigates, and recommends to policymakers and the wider public. We might assume that editors can identify the ‘best’ experts and rely on them fo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981826/ https://www.ncbi.nlm.nih.gov/pubmed/35382867 http://dx.doi.org/10.1186/s13104-022-06016-0 |
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author | Marcoci, Alexandru Vercammen, Ans Bush, Martin Hamilton, Daniel G. Hanea, Anca Hemming, Victoria Wintle, Bonnie C. Burgman, Mark Fidler, Fiona |
author_facet | Marcoci, Alexandru Vercammen, Ans Bush, Martin Hamilton, Daniel G. Hanea, Anca Hemming, Victoria Wintle, Bonnie C. Burgman, Mark Fidler, Fiona |
author_sort | Marcoci, Alexandru |
collection | PubMed |
description | Journal peer review regulates the flow of ideas through an academic discipline and thus has the power to shape what a research community knows, actively investigates, and recommends to policymakers and the wider public. We might assume that editors can identify the ‘best’ experts and rely on them for peer review. But decades of research on both expert decision-making and peer review suggests they cannot. In the absence of a clear criterion for demarcating reliable, insightful, and accurate expert assessors of research quality, the best safeguard against unwanted biases and uneven power distributions is to introduce greater transparency and structure into the process. This paper argues that peer review would therefore benefit from applying a series of evidence-based recommendations from the empirical literature on structured expert elicitation. We highlight individual and group characteristics that contribute to higher quality judgements, and elements of elicitation protocols that reduce bias, promote constructive discussion, and enable opinions to be objectively and transparently aggregated. |
format | Online Article Text |
id | pubmed-8981826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89818262022-04-06 Reimagining peer review as an expert elicitation process Marcoci, Alexandru Vercammen, Ans Bush, Martin Hamilton, Daniel G. Hanea, Anca Hemming, Victoria Wintle, Bonnie C. Burgman, Mark Fidler, Fiona BMC Res Notes Commentary Journal peer review regulates the flow of ideas through an academic discipline and thus has the power to shape what a research community knows, actively investigates, and recommends to policymakers and the wider public. We might assume that editors can identify the ‘best’ experts and rely on them for peer review. But decades of research on both expert decision-making and peer review suggests they cannot. In the absence of a clear criterion for demarcating reliable, insightful, and accurate expert assessors of research quality, the best safeguard against unwanted biases and uneven power distributions is to introduce greater transparency and structure into the process. This paper argues that peer review would therefore benefit from applying a series of evidence-based recommendations from the empirical literature on structured expert elicitation. We highlight individual and group characteristics that contribute to higher quality judgements, and elements of elicitation protocols that reduce bias, promote constructive discussion, and enable opinions to be objectively and transparently aggregated. BioMed Central 2022-04-05 /pmc/articles/PMC8981826/ /pubmed/35382867 http://dx.doi.org/10.1186/s13104-022-06016-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Commentary Marcoci, Alexandru Vercammen, Ans Bush, Martin Hamilton, Daniel G. Hanea, Anca Hemming, Victoria Wintle, Bonnie C. Burgman, Mark Fidler, Fiona Reimagining peer review as an expert elicitation process |
title | Reimagining peer review as an expert elicitation process |
title_full | Reimagining peer review as an expert elicitation process |
title_fullStr | Reimagining peer review as an expert elicitation process |
title_full_unstemmed | Reimagining peer review as an expert elicitation process |
title_short | Reimagining peer review as an expert elicitation process |
title_sort | reimagining peer review as an expert elicitation process |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8981826/ https://www.ncbi.nlm.nih.gov/pubmed/35382867 http://dx.doi.org/10.1186/s13104-022-06016-0 |
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