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COPE Flowcharts and infographics – Fabricated data in a submitted manuscript. COPE流程图和信息图表-在提交的手稿中捏造的数据。
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-15
A. Editorial
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引用次数: 0
COPE Flowcharts and infographics – Peer review manipulation suspected after publication COPE流程图和信息图表-发表后怀疑同行评议操纵
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-09
A. Editorial
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引用次数: 0
ORCID and its configuring with OJS to accurately credit researchers for their work ORCID及其与OJS的配置可以准确地为研究人员的工作提供信用
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-05
Sh. Sadler
This article provides a short introduction to ORCID and discusses the value of ORCID to researchers, publishers and editors, and research institutions. Here we provide some data about current rates of ORCID adoption around the world and we cover how our different APIs can be used with the ORCID/ OJS plugin, and outline some concrete steps that both ORCID members and non-members can take to enable the ORCID/OJS plugins. 
本文简要介绍了ORCID,并讨论了ORCID对研究人员、出版商和编辑以及研究机构的价值。在这里,我们提供了一些关于全球ORCID采用率的数据,我们介绍了如何将我们的不同api与ORCID/OJS插件一起使用,并概述了ORCID成员和非成员可以采取的一些具体步骤来启用ORCID/OJS插件。
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引用次数: 0
COPE Flowcharts and infographics – Peer review manipulation suspected during the peer review process COPE流程图和信息图表-同行评议过程中涉嫌操纵同行评议
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-08
A. Editorial
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引用次数: 0
COPE Flowcharts and infographics – Plagiarism in a published article COPE流程图和信息图表-已发表文章中的抄袭
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-14
A. Editorial
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引用次数: 0
COPE Flowcharts and infographics – Fabricated data in a published article COPE流程图和信息图表-发表文章中的捏造数据
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-16
A. Editorial
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引用次数: 2
Typical mistakes by Russian researchers when registering and completing their ORCID records: Analysis of real cases 俄罗斯研究人员在登记和完成ORCID记录时的典型错误:真实案例分析
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-11
T. A. Loskutova
Integration of Russian science into the world’s scientific community is an important task for the government, universities, research organizations, and researchers. The ORCID identifier (iD) is an efficient tool for promoting researchers and their works, building researchers’ personal brands and enhancing their reputation in the scientific community, as well as attributing authorship. Modern journals are increasingly requiring their contributors to provide an ORCID iD as a mandatory element of the author’s information. Russian researchers, possibly due to the low awareness about the benefits of ORCID, make some typical mistakes when registering and completing their ORCID records. This article provides a brief analysis of such mistakes and shows 1) how to correctly present a researcher’s published (preferred) name and how to indicate other names the researcher is known by; 2) what visibility modes ORCID provides to its users; 3) what data can be added to a researcher’s ORCID iD for improved discoverability and recognition. An example of a published article with a wrong ORCID iD is presented; all the resulting negative outcomes for the journal are discussed. The conclusion is made about the need to raise the awareness among the research community about the importance of full and correct ORCID profiles. Editors of scientific journals should ensure that the authors’ ORCID records are filled out correctly.
将俄罗斯科学融入世界科学界是政府、大学、研究机构和研究人员的一项重要任务。ORCID标识符(iD)是推广科研人员及其作品、建立科研人员个人品牌、提高科研人员在科学界的声誉以及标明作者身份的有效工具。现代期刊越来越多地要求他们的贡献者提供ORCID iD作为作者信息的强制性元素。可能是由于对ORCID的好处认识不足,俄罗斯研究人员在注册和完成ORCID记录时犯了一些典型的错误。本文对此类错误进行了简要分析,并展示了1)如何正确显示研究人员的已发表(首选)名称以及如何指出研究人员的其他名称;2) ORCID为用户提供了哪些可见模式;3)哪些数据可以添加到研究人员的ORCID iD中,以提高可发现性和识别性。给出了一篇已发表文章ORCID iD错误的例子;讨论了由此产生的所有负面结果。结论是需要提高研究界对完整和正确的ORCID档案的重要性的认识。科学期刊的编辑应该确保作者的ORCID记录填写正确。
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引用次数: 0
COPE Flowcharts and infographics – How to recognise potential manipulation of the peer review process COPE流程图和信息图表-如何识别同行评审过程中潜在的操纵行为
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-07
A. Editorial
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引用次数: 1
COPE Flowcharts and infographics – How to recognise potential authorship problems COPE流程图和信息图表-如何识别潜在的作者问题
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-06
A. Editorial
.
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引用次数: 1
Retraction Watch: A tool for informing academia about ethical violations in publications 撤稿观察:向学术界通报出版物中违反道德规范的工具
Pub Date : 2022-01-20 DOI: 10.24069/sep-21-12
E. A. Balyakina
Retraction is one of the ways to filter low-quality academic publications. Over the last decade, the number of retracted articles from journals has been steadily growing around the world. Information about such articles can be found both on the websites of the retracting journals and in the databases that index these journals. In 2010, two doctors from the United States, Ivan Oransky and Adam Marcus, created an Internet resource – Retraction Watch (RW), which concentrates information obtained as a result of investigations of ethical misconduct leading to retraction of articles. These investigations are conducted by the RW founders themselves, as well as by volunteers. Currently, RW contains information on over 24,000 retractions. The main violations include serious errors in methodology and calculations that lead to incorrect conclusions, manipulation of figures and data, plagiarism and self-citation, duplication of publications, etc. In its posts, RW considers unintentional mistakes, as well as deliberate fraud in order to obtain a position, degree or other benefit. Retractions can result in the withdrawal of academic degrees, dismissal from work, demotion, loss of authority among colleagues. RW posts are released daily and a cumulative RW issue – at the end of each week. The owners of the resource, having no outside funding, offer to subscribe to a paid resource or provide sponsorship assistance to those interested in maintaining and developing it. However, the resource is publicly available, and everyone can subscribe to mailing lists for free. Recent issues have focused on non-peerreviewed articles about COVID-19 that report erroneous scientific findings with possible serious implications for important decisions. In addition, Retraction Watch accumulates information on academic ethics from other sources. This article aims to describe a variety of ethical violations leading to retraction of articles and the consequences of retractions based on RW data. The sample of posts was drawn mainly from the 2021 RW issues.
撤稿是过滤低质量学术出版物的方法之一。在过去的十年里,世界范围内从期刊上撤稿的文章数量一直在稳步增长。有关这类文章的信息可以在撤稿期刊的网站和这些期刊的索引数据库中找到。2010年,来自美国的两位医生伊凡·奥兰斯基和亚当·马库斯创建了一个网络资源——撤稿观察(RW),该资源集中了因道德不端导致文章被撤稿的调查而获得的信息。这些调查是由RW创始人自己和志愿者进行的。目前,RW包含超过24,000个撤回的信息。主要的违规行为包括在方法和计算上的严重错误,导致不正确的结论,操纵数字和数据,抄袭和自我引用,重复出版物等。在其帖子中,RW考虑了无意的错误,以及为了获得职位、学位或其他利益而故意欺诈。撤稿可能导致学位被撤销、被解雇、降级、在同事中失去权威。RW帖子每天发布,每周结束时发布一个累积的RW问题。资源的所有者,没有外部资金,提供订阅付费资源或提供赞助帮助那些有兴趣维护和开发它。然而,该资源是公开可用的,每个人都可以免费订阅邮件列表。最近几期的重点是关于COVID-19的非同行评议文章,这些文章报告了错误的科学发现,可能对重要决策产生严重影响。此外,“撤稿观察”还从其他渠道收集学术道德方面的信息。本文旨在描述基于RW数据导致文章撤回的各种道德违规行为以及撤回的后果。文章样本主要来自2021年的《RW》杂志。
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引用次数: 0
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