Compliance with COPE, DORA, and FAIR Principles and Recommendations
The Editorial Board of the Collection adheres to the principles and recommendations of the following international organizations:
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 the FAIR principles (Findable, Accessible, Interoperable, Reusable) for research data:
- Ensuring the findability (Findable) of research data by depositing them in reliable repositories (Zenodo) with persistent identifiers (DOIs).
- Ensuring the accessibility (Accessible) of data with clearly defined access conditions.
- Maintaining interoperability (Interoperable) through the use of widely accepted data formats, metadata, meta tags, and OAI-PMH protocol standards.
Enabling the reuse (Reusable) of data by providing descriptions, licenses, and references to the source.
Visits:11








