The Collection adheres to international standards of academic integrity, transparency, and responsible evaluation of scientific results. In its activities, the Editorial Board is guided by the principles and recommendations of COPE, DORA (https://sfdora.org/about-dora/), and FAIR (Findable, Accessible, Interoperable, Reusable), which promote openness, reproducibility, and accessibility of scientific materials.

Compliance with ethical standards defined by COPE (Committee on Publication Ethics):
Transparency in the processes of submission, peer review, and publication of articles.

• Impartiality and independence of editors and reviewers.
• Academic integrity: avoidance of plagiarism, fabrication, and duplicate publication.
• Proper authorship: clear identification of the contribution of each author.
• Handling of complaints: the existence of transparent and well-defined procedures for considering appeals and complaints concerning ethical issues.
• Retraction and correction of articles: a clear procedure for retraction, corrections, and publication of notices of errors.

Compliance with the principles of fair research assessment under DORA (San Francisco Declaration on Research Assessment):

• Manuscripts are evaluated solely on the basis of their scientific quality, originality, methodological soundness, and significance of the results.
• Journal-level metrics (including impact factor, the h-index of the Collection, or other quantitative indicators) are not used as criteria for evaluating individual articles or authors.
• The Editorial Board and reviewers encourage substantive expert evaluation rather than formal metric-driven assessment.
• Publications recognize the diversity of research outputs, including research data, methods, and negative results.

Compliance with FAIR Principles 

The FAIR principles aim to enhance research transparency, reproducibility of results, and the integration of collections into the international open science ecosystem.

The Editorial Board recommends that authors ensure that research data in their articles comply with FAIR principles:

• Findable: datasets must have unique DOI identifiers, metadata, and descriptions, including:
  • Dataset title.
  • Authors + ORCID.
  • Article title.
  • Year of publication.
• Accessible: data must be available through reliable repositories (open and free access).
• Interoperable: data must be in open, standard formats (CSV, JSON, XML, etc.).
• Reusable: data must include clear usage conditions and licensing (e.g., CC BY 4.0).

The Editorial Board permits and encourages authors to deposit empirical datasets forming the article’s context in open research repositories. Such datasets must:

• Comply with the FAIR principles (Findable, Accessible, Interoperable, Reusable).
• Be stored in a reliable institutional, national, or international repository.
• Have an assigned DOI.
• Be accessible at the time of article publication.

The Collection uses the open international repository Zenodo by OpenAIRE, which securely stores copies of scientific articles and allows:

• Centralized storage of research data.
• DOI assignment to datasets;
• Long-term preservation and access.

Depositing data in a repository with long-term preservation is a mandatory condition for ensuring reproducibility of scientific results.

To simplify the process, the Editorial Board offers authors the option to submit research data together with the manuscript as an archive. In this case, the Editorial Board:

• Uploads materials to Zenodo.
• Generates metadata.
• Assigns a DOI to each dataset.
• Establishes links between the article and data through reciprocal references.

This relieves authors of the technical aspects of data deposition.

Data Availability

All data supporting the research results are included in the text of the scientific article.

Research data must:

• Be structured and comprehensible.
• Be provided in open or widely accepted formats (CSV, TXT, XLSX, JSON, etc.).
• Be accompanied by sufficient metadata for interpretation and reuse.
• Contain no personal or confidential data without proper legal and ethical justification and protection.

Data Licensing

The Collection applies the Creative Commons Attribution 4.0 International open license (CC BY 4.0), enabling reuse of data with proper attribution.

Article–Data Linkage

The Editorial Board ensures:

• Indication of the dataset’s DOI in the article (upon the authors’ request).
• Indication of the article’s DOI in the repository record.
• Integration of data into the scientific information space via the OAI-PMH metadata exchange protocol.

Authors’ Responsibility

Authors are responsible for:

• Accuracy and correctness of data deposition.
• Compliance with ethical standards.
• Legality of data dissemination.
• Adherence to FAIR principles.
• Obtaining necessary permissions (if third-party data is involved).

The Editorial Board ensures DOI acquisition and availability for scientific articles published on the Collection’s website (https://journal.yuzhnoye.com), and the correctness of their metadata during publication preparation.

Policy Violations

In case of non-compliance with open data principles, the Editorial Board reserves the right to request revisions, reject the manuscript, or publish corrections in accordance with international COPE recommendations.