Editorial Policy

Annales ZRS Academic Publishing House operates in accordance with the principles of scientific excellence, integrity and transparency. It publishes original scientific and professional works that contribute to the development of individual research fields and the dissemination of knowledge nationally and internationally.

All submitted works undergo a peer review process to ensure the quality, credibility and relevance of the published content. The publisher promotes ethical conduct among authors, reviewers and editors and consistently adheres to standards aimed at preventing plagiarism, conflicts of interest and other unethical practices. The publisher strives to comply with the Code of Conduct and Best Practice Guidelines for editors of scientific monographs, revised and approved in 2011 by the Council of the Committee on Publication Ethics (COPE).

The editorial policy is based on the principles of open access, the promotion of interdisciplinarity and international cooperation. The publisher strives to enhance the accessibility and visibility of scientific results by using modern digital platforms and ensuring the long-term availability of its publications.

The publisher supports the principles of open access in the publication of scientific monographs, with the aim of increasing the accessibility, visibility and impact of research results. As a rule, monographs are made freely available online in digital form, without financial, legal or technical restrictions for users.

The publisher encourages the use of appropriate open licences, such as Creative Commons licences, which enable the lawful use, dissemination and citation of works while protecting copyright. Authors retain the moral rights to their works, while the publisher ensures long-term preservation, accessibility and the technical infrastructure required for publication. The publisher strives to include monographs in international repositories and databases and to use persistent identifiers, such as DOIs, thereby ensuring the long-term accessibility and citability of scientific publications. In this way, it contributes to open science and the broader transfer of knowledge to the academic community and society.

Policy on the Use of Generative Artificial Intelligence (GenAI)

ANNALES ZRS does not accept submissions in which automated tools—including generative artificial intelligence, such as large language models (LLMs) and chatbots—are listed as co-authors.

ANNALES ZRS does not accept submissions in which artificial intelligence is cited as a source. Content generated by LLMs is neither reproducible nor traceable, cannot be validated and may contain third-party material without appropriate attribution. Generative artificial intelligence must therefore not be cited as a source.

ANNALES ZRS does not accept submissions in which artificial intelligence tools have been used to generate data, images, graphs, spectra or other content presented as original research data or as results purportedly obtained or analysed without automated means. Any content generated entirely by artificial intelligence without being based on original research data or results, and presented as such, is unacceptable.

ANNALES ZRS does not accept submissions in which artificial intelligence tools have been used to generate plausible-sounding but non-existent references.

ANNALES ZRS accepts manuscripts in which generative artificial intelligence has been used as a tool to support the writing process. Acceptable uses include language editing, feedback on structure and style, translation, data analysis and programming. Authors who use generative technologies in this manner are responsible for verifying the accuracy of the outputs produced by all automated tools used during the research and manuscript preparation process. Automated tools must not be listed as authors. Authors must disclose the use of generative artificial intelligence and provide appropriate information about its use in the relevant sections of the manuscript.

• The use of LLMs for data analysis and programming constitutes a significant methodological intervention. In such cases, the procedure used must be described in the methodology section, including the type of language model employed, the prompts used—without including the material being analysed or coded—the date of use and a link to the dataset.
• When chatbots are used for data analysis, authors must bear in mind that most freely available generative models do not meet the standards required for processing personal or sensitive data. Only models approved by the relevant research institution or other reliable authorities may be used.

Authors must disclose the use of generative artificial intelligence in the writing process in a statement included at the end of the manuscript as a separate subsection preceding the reference list. The subsection must be entitled “Declaration of Generative Artificial Intelligence and AI-Assisted Technologies in the Writing Process” and must contain at least the following information:

a clear statement that the author(s) appropriately reviewed and edited the output and accept(s) full responsibility for the content and integrity of the publication.Coming soon.

a statement that the author(s) used [NAME OF TOOL, VERSION] on [DATE], with the following prompt: “[FULL PROMPT]”, for the purpose of [SPECIFIC PURPOSE];