Compliance with the principles and recommendations of COPE, WAME, DORA

The journal adheres to the ethical standards set by COPE (Committee on Publication Ethics), ensuring transparency at all stages of scientific publication - from manuscript submission to review and publication. The editorial policy is based on the principles of impartiality and independence of editorial decisions, as well as strict adherence to academic integrity, which includes the prevention of plagiarism, data falsification and duplication of publications.

Correct attribution of authorship is important, where the contribution of each co-author is clearly recorded. The journal also ensures the availability of open and understandable procedures for considering complaints and appeals regarding ethical violations, as well as mechanisms for correcting errors and retracting articles if necessary.

In a broader context, editorial activities take into account the recommendations of WAME (World Association of Medical Editors), which provide for editorial independence without the influence of sponsors, institutions or commercial interests. All participants in the process are required to declare conflicts of interest, and peer review must be objective, fair, and timely.

Particular attention is paid to the transparency of research funding with mandatory disclosure of grants and sources of support, as well as to supporting young scientists and promoting their publication activity.

The journal shares the DORA (San Francisco Declaration on Research Assessment) approach, according to which scientific works are evaluated not only by bibliometric indicators (impact factor, h-index), but primarily by their quality, novelty, and scientific contribution. It is also important to recognize different forms of research results — software, datasets, algorithms, and technical solutions, and not just articles. Interdisciplinarity and the development of open science are supported, in particular the use of preprints and open repositories.

The editorial board also adheres to the principles of Open Science, including Open Access policies, Plan S standards, and the FAIR (Findable, Accessible, Interoperable, Reusable) approach, which ensure the openness, accessibility, and reuse of scientific data.

Special emphasis is placed on the ethical use of AI in research — in compliance with transparency, accountability, and the principles of academic integrity, with authors holding full responsibility for the results.