Data Sharing Policy

Providing authors with access to the data obtained during the research, substantiating the content of their publications, is welcome but is not mandatory. Research data can take various forms they are the fundamental evidence on which the statements made by the authors in their research are based. The public exchange of this data helps to maximize the openness, transparency and effectiveness of research. It also increases the research process's reliability, maintaining the results' reproducibility and reproducibility. The consent of authors' consent access to research data does not affect the decision to publish.


Understanding our data sharing policies

This policy applies to research data that may be required to confirm the validity of research results in materials published by the Eurasian Journal of Economic and Business Studies (EJEBS). Research data includes information obtained directly by the authors ("primary data"), as well as data from other sources analyzed by the authors during the study ("secondary data").

Research data can come in many formats. They were defined as data or materials that underlie the answer to a research question and can be used to confirm the results regardless of their form (for example, in the process of obtaining research results, in digital or non-digital format.). This can be quantitative information or qualitative statements collected by researchers during their work through experiments, observations, modelling, interviews or other methods. Research data includes tabular data, code, images, documents, maps, and processed and/or raw data.


Definition of exceptions

This policy does not apply to research data that is not required to confirm the reliability of the results presented in the published articles. Information about data that is not subject to disclosure can be transmitted as follows: placed in research data repositories with limited access; previously anonymized. The author may also make publicly available only metadata of research data and/or a description of how to access them at the request of other scientists.


Data repositories

A data warehouse is a place for researchers to store datasets related to their research. And if the authors strive to comply with the journal data exchange policy, then you will need to determine the appropriate storage for your data. An open-access data warehouse openly stores data in such a way as to provide immediate user access to anyone. The preferred way to exchange data is to use data repositories. In cases where there is no storage, the authors may consider some of the following types of general-purpose data warehouses:

  • 4TU.Research Data
  • AND contributing repositories
  • Mendeley Data
  • Dryad Digital Repository
  • Figshare
  • Open Science Framework
  • Science Data Bank

We recommend that authors choose a data warehouse that issues a permanent identifier, preferably a digital object identifier (DOI), and has developed a reliable preservation plan that guarantees the indefinite storage of data. In addition, we strongly recommend that researchers take into account the principles of honest data when posting data.

If the author(s) need help choosing a repository for hosting data, refer to the list of repositories on the site:


Сited data

The Eurasian Journal of Economic and Business Studies (EJEBS) 's editorial board welcomes the provision of research data access under free Creative Commons licenses. All data referred to by the authors in articles published in journal articles should be accompanied by a quote.

The Eurasian Journal of Economic and Business Studies (EJEBS) editorial board strongly recommends and requires authors to refer to data related to their materials. Also, the journal does not insist on the mandatory use of free licenses when data is placed in third-party repositories. The publisher of the Eurasian Journal of Economic and Business Studies (EJEBS) does not claim ownership of the research data provided by the author together with the article.

However, please note that if the journal uses double anonymous peer review, you will need to make sure that any references to the data do not reveal your identity to the reviewers. Our data warehouse guide provides detailed information on how to share your data during peer review anonymously.

See our data-sharing guide for more information on how to make your datasets available.

Letters with questions about compliance with this policy can be sent to the Editor-in-Chief of EJEBS.