PROVIDING ACADEMIC HONESTY AND DATA RELIABILITY TO WOS INDEXED SOURCES

Sergiy B. Kholod, Volodymyr Momot
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Abstract

The article explores the peculiarities of ensuring academic integrity and data reliability in preparation for publication in sources indexed in Web of Science. The main stakeholders in the process of ensuring data integrity and reliability are identified. The main technical and ethical issues that arise in the organization of this process are highlighted. The publications in the Academic Review for the period of indexing this source in WoS are analyzed in terms of ensuring data reliability and the relevant policy is reviewed. The main aspects of ensuring academic integrity and data reliability in the format of “science-society” interaction are analyzed and the call of the Alfred Nobel University for the creation of a research quality assurance association in Ukraine, which would combine the efforts of the scientific community and society aimed at ensuring integrity and reliability, is formulated. The article describes in detail the initiative of the Alfred Nobel University to ensure academic integrity and reliability of data in publications indexed in scientific databases and outlines the conditions for participation in it. The ethical and technical problems of using artificial intelligence tools in the preparation of scientific publications are considered. The possibilities of counteracting academic plagiarism using artificial intelligence tools are analyzed. Recommendations are given on the use of artificial intelligence tools to improve the quality of research, especially when analyzing achievements in the chosen field and choosing a methodology. Recommendations for ensuring academic integrity in the use of artificial intelligence tools in the preparation of publications and the development of appropriate journal policies on this issue are formulated. A quantitative comparison of the time parameters of the preparatory cycle of the main publishers of scientific literature is carried out. The author presents the sign “Perspicuitas et Fides” (transparency and reliability – Latin), which will be used by the editorial board to mark publications in which the authors are responsible for ensuring the reliability of the original research data and open access to them. The current structure of scientific publications on the websites of leading scientific publishers is analyzed. The motivation of scientists to ensure open access to data was analyzed. An appeal was made to other colleagues who administer publications indexed in scientometric databases to join the initiatives of the Alfred Nobel University.
为 WOS 索引来源提供学术诚信和数据可靠性
文章探讨了在准备发表《科学网》收录的资料时确保学术诚信和数据可靠性的特殊性。确定了确保数据完整性和可靠性过程中的主要利益相关者。文章强调了在组织这一过程中出现的主要技术和伦理问题。从确保数据可靠性的角度分析了《学术评论》在 WoS 索引该来源期间的出版物,并审查了相关政策。文章分析了在 "科学-社会 "互动形式下确保学术诚信和数据可靠性的主要方面,并提出了阿尔弗雷德-诺贝尔大学关于在乌克兰建立研究质量保证协会的呼吁,该协会将结合科学界和社会的努力,旨在确保诚信和可靠性。文章详细介绍了阿尔弗雷德-诺贝尔大学为确保学术诚信和科学数据库索引中出版物数据的可靠性而提出的倡议,并概述了参与该倡议的条件。文章考虑了在编写科学出版物时使用人工智能工具的伦理和技术问题。分析了利用人工智能工具打击学术剽窃行为的可能性。就使用人工智能工具提高研究质量提出建议,特别是在分析所选领域的成就和选择研究方法时。提出了在使用人工智能工具编写出版物时确保学术诚信的建议,并就这一问题制定了适当的期刊政策。对主要科学文献出版商的筹备周期时间参数进行了定量比较。作者提出了 "Perspicuitas et Fides"(透明度和可靠性--拉丁语)标志,编辑委员会将使用该标志来标示作者有责任确保原始研究数据可靠性和开放获取的出版物。对主要科学出版商网站上科学出版物的现有结构进行了分析。分析了科学家确保数据开放获取的动机。呼吁其他负责管理被科学计量数据库收录的出版物的同行加入阿尔弗雷德-诺贝尔大学的倡议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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