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

IF 2.2 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
David Nicholas, Blanca Rodríguez-Bravo, Abdullah Abrizah, Eti Herman, Jorge Revez, Marzena Świgoń, David Clark, Jie Xu, Anthony Watkinson
{"title":"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","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":2.2000,"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":"{\"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\":2.2000,\"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}","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

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Career Researchers on all Aspects of Peer Review: A Deep Dive Into the Data

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信