Early Career Researchers on all Aspects of Peer Review: A Deep Dive Into the Data

IF 2.4 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Learned Publishing Pub Date : 2025-03-19 DOI:10.1002/leap.2002
David Nicholas, Blanca Rodríguez-Bravo, Abdullah Abrizah, Eti Herman, Jorge Revez, Marzena Świgoń, David Clark, Jie Xu, Anthony Watkinson
{"title":"Early Career Researchers on all Aspects of Peer Review: A Deep Dive Into the Data","authors":"David Nicholas,&nbsp;Blanca Rodríguez-Bravo,&nbsp;Abdullah Abrizah,&nbsp;Eti Herman,&nbsp;Jorge Revez,&nbsp;Marzena Świgoń,&nbsp;David Clark,&nbsp;Jie Xu,&nbsp;Anthony Watkinson","doi":"10.1002/leap.2002","DOIUrl":null,"url":null,"abstract":"<p>The Harbingers study of early career researchers (ECRs) and their work life and scholarly communications began by studying generational—Millennial—change (H-1), then moved to pandemic change (H-2) and is now investigating another change agent—artificial intelligence (AI). This paper from the study constitutes a deep dive into the peer review attitudes and practices of 91 international ECRs from all disciplines. Depth interviews were the main means by which data was collected, and questions covered ECRs as reviewers, authors and readers, and are described in their own words. Main findings are: (1) ECRs proved to be a highly experienced in peer review; (2) There is more trust in peer review than distrust in it, but there are concerns; (3) Peer review is something that arts and humanities ECRs are unfamiliar with or much concerned about; (4) A sizeable majority of ECRs thought peer review could be improved, with anonymity/double-blind reviewing topping the list; (5) The majority view was that AI will have an impact on peer review and that it would be beneficial; (6) little has changed since the last Harbingers study, except for AI, which is seen to be transformative. We believe that few studies have drilled down so deeply and widely in respect to ECRs.</p>","PeriodicalId":51636,"journal":{"name":"Learned Publishing","volume":"38 2","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leap.2002","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learned Publishing","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/leap.2002","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

The Harbingers study of early career researchers (ECRs) and their work life and scholarly communications began by studying generational—Millennial—change (H-1), then moved to pandemic change (H-2) and is now investigating another change agent—artificial intelligence (AI). This paper from the study constitutes a deep dive into the peer review attitudes and practices of 91 international ECRs from all disciplines. Depth interviews were the main means by which data was collected, and questions covered ECRs as reviewers, authors and readers, and are described in their own words. Main findings are: (1) ECRs proved to be a highly experienced in peer review; (2) There is more trust in peer review than distrust in it, but there are concerns; (3) Peer review is something that arts and humanities ECRs are unfamiliar with or much concerned about; (4) A sizeable majority of ECRs thought peer review could be improved, with anonymity/double-blind reviewing topping the list; (5) The majority view was that AI will have an impact on peer review and that it would be beneficial; (6) little has changed since the last Harbingers study, except for AI, which is seen to be transformative. We believe that few studies have drilled down so deeply and widely in respect to ECRs.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
关于同行评审各个方面的早期职业研究人员:数据深度挖掘
harbinger对早期职业研究人员(ecr)及其工作生活和学术交流的研究始于研究代际-千禧年变化(H-1),然后转移到大流行变化(H-2),现在正在研究另一种变化因素——人工智能(AI)。本文对来自各学科的91个国际ecr的同行评审态度和实践进行了深入研究。深度访谈是收集数据的主要手段,问题涉及ecr作为审稿人、作者和读者,并以他们自己的话进行描述。主要发现有:(1)ECRs在同行评议方面经验丰富;(2)对同行评议的信任大于不信任,但也存在担忧;(3)同行评议是艺术和人文学科ecr不熟悉或非常关心的事情;(4)相当多的ecr认为同行评议可以改进,匿名/双盲评议名列前茅;(5)大多数人认为人工智能将对同行评议产生影响,并且是有益的;(6)自上次harbinger研究以来,除了被视为具有变革性的人工智能之外,几乎没有什么变化。我们认为,很少有研究对ecr进行如此深入和广泛的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Learned Publishing
Learned Publishing INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.40
自引率
17.90%
发文量
72
期刊最新文献
Challenges and Strategies in Local Journal Publishing: Perspectives of Australian Journal Editors A Cross-Disciplinary Analysis of AI Policies in Academic Peer Review Mapping Scholarly Identities: A Descriptive Study of Spanish ORCID Records at the Spanish National Research Council (CSIC) Beyond the Map: Considering Reporting Quality to Strengthen Scoping Reviews Enhancing Consistency in Peer Review: A Statistical Analysis of Discrepancies and Proposals for Improvement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1