PROVIDING ACADEMIC HONESTY AND DATA RELIABILITY TO WOS INDEXED SOURCES

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.