Research Data and Reproducibility

The editorial policy of the Vestnik of Rostov State University of Economics (RINH) is based on the principles of reliability, verifiability, and reproducibility of research results to the extent permitted by the nature of the study, the data used, and applicable legal requirements.

Research data requirements are applied with due regard to the specific nature of each study. The journal does not require all underlying research data to be made publicly available where disclosure is restricted by law, data-use agreements, confidentiality requirements, personal data protection, commercial secrecy, or other justified circumstances.

Data Sources and Description

Authors must clearly identify the origin of the data on which the research is based and describe the methods used to obtain, compile, and process the data in sufficient detail to allow readers to understand and assess the reported results.

When official statistics, open databases, information systems, repositories, or other publicly available sources are used, authors should provide the name of the source and, where available, a persistent link, DOI, or other identifier of the dataset.

Where authors compile their own dataset using primary materials, observations, surveys, experiments, calculations, or combinations of several sources, the manuscript should describe the principles of sample or dataset construction, the variables used, the study period, and the principal data-processing procedures relevant to the reproducibility of the results.

Availability of Research Data

Authors are encouraged to make research data openly available where this is possible without violating the rights of third parties, applicable legislation, confidentiality requirements, or the terms governing the use of the original data.

Where research data are deposited in an open repository, authors are encouraged to provide a persistent link or identifier in the manuscript.

Where data cannot be made publicly available, authors should be prepared, where necessary, to explain the reasons for restricted access to the Editorial Office.

Calculations, Models, and Software Code

For studies whose results substantially depend on computational procedures, statistical methods, mathematical models, algorithms, or software code, the methodology should be described in sufficient detail to explain the sequence by which the results were obtained and the principal parameters of the calculations.

Software, specialised packages, and other computational tools should be identified where their use is relevant to the reproducibility of the research.

Where original software code, an algorithm, or a computational procedure constitutes a substantial part of the research, authors should be prepared to provide the Editorial Office with the materials necessary to verify the accuracy of the reported results to the extent required for editorial assessment.

Editorial Requests for Data

During manuscript evaluation, the Editorial Office may request underlying or intermediate data, calculation materials, descriptions of algorithms, software code, or other materials directly relevant to verification of the reported results.

Such requests are limited to the materials reasonably required for scholarly and editorial assessment. Materials supplied to the Editorial Office are treated as confidential and may not be disclosed to third parties or used outside the manuscript evaluation process without the author's consent, except where required by law.

Where requested materials cannot be provided, the author should explain the reasons. The Editorial Office will take into account the nature of the restrictions and their effect on the ability to verify the research results when making an editorial decision.

Author Responsibility

Authors are responsible for the accuracy of the data presented, the correctness of data processing, the correspondence between the methods described and the procedures actually performed, and the validity of the conclusions drawn from the research.

Fabrication, falsification, or deliberate distortion of research data constitutes a breach of publication ethics and will be handled in accordance with the journal's policies on publication ethics, corrections, and retractions.

Use of Artificial Intelligence in Data Processing

Artificial intelligence tools may be used for technical processing, structuring, or aggregation of large datasets, computational procedures, or software implementation of research methods only in the circumstances permitted by the journal's Artificial Intelligence Policy.

Such use must be disclosed in the manuscript, including the tool used, its purpose, the operations performed, and the procedures used by the authors to verify the resulting outputs.