Data Sharing Policy

Journal Policy on Open Data and FAIR Data

The Editorial Board supports the principles of open science, including the Science Europe initiatives (“Plan S”) and international standards for research data management. All articles based on empirical data must include a Data Availability Statement providing information on the accessibility of research data. The journal does not host research data on behalf of authors. Full responsibility for archiving, accessibility, and description of data rests with the authors.

1. Principles

Research data, within the scope of this policy, refers to all materials necessary for the verification, reproduction, and reuse of research findings, including numerical data, response texts, code, data collection instruments, protocols, instructions, metadata, and supplementary materials.

The journal adheres to the principles of open science and research data management in accordance with the following standards:

  •   UNESCO Recommendations on Open Science;
  •   European Commission Research Data Management (RDM/FAIR) policy;
  •   International requirements for the Data Availability Statement (DAS).

 

Research data are an integral part of a publication, ensuring the reproducibility, transparency, and verifiability of results.

2. Author Responsibilities

Authors are required to:

  •   independently deposit research data in a reliable repository (institutional, national, or international);
  •   obtain a persistent identifier (DOI or equivalent);
  •   include information about the data in the article;
  •   ensure compliance with the FAIR principles;
  •   cite datasets in the reference list.

 

The Editorial Office does not:

  •   store data;
  •   upload or moderate datasets;
  •   provide technical management of repositories.

3. Data Availability Statement (DAS)

Every article based on empirical or derived data must include a section entitled "Data Availability Statement" specifying:

  1. Availability status (open / partial / on request).
  2. Name of the repository.
  3. DOI of each dataset.
  4. License (CC BY or CC0 recommended for data).
  5. Access restrictions (if applicable).

 

Example wording:

Ukrainian:

Дані дослідження доступні в репозитарії Zenodo. DOI: 10.xxxx/zenodo.xxxxxxx. Ліцензія: CC BY 4.0.

English:

Data are available in the Zenodo repository. DOI: 10.xxxx/zenodo.xxxxxxx. License: CC BY 4.0.

4. Recommended Repositories

Authors should use reliable platforms that ensure long-term storage and open metadata, including:

  •   Zenodo
  •   Figshare
  •   Open Science Framework
  •   Dryad
  •   institutional university repositories
  •   national repositories (where available)

5. FAIR Requirements

Datasets must meet the following criteria:

Findable

  •   has a DOI or other persistent identifier;
  •   contains complete bibliographic and descriptive metadata.

Accessible

  •   access conditions are defined;
  •   data are accessible via a stable URL or API.

Interoperable

  •   open formats used (CSV, TXT, JSON, XML);
  •   README or codebook is provided.

Reusable

  •   license is specified;
  •   collection method, context, and limitations are described.

6. Minimum Dataset Requirements

  •   empirical studies — ≥1 dataset (data);
  •   intervention studies — ≥2 datasets (data + instrument/code);
  •   methodological articles — ≥1 dataset;
  •   reviews — 0–1 dataset (if structured data are available).

 

1 dataset = 1 DOI (1 deposit in a repository).

7. Article Metadata

The publication metadata must indicate:

  •   Total number of FAIR datasets (N).
  •   List of DOIs (all deposits).
  •   Names of repositories.
  •   Access licenses.

 

Datasets must be cited in the article's reference list (REFERENCES) as separate sources, specifying authors, year, dataset title, repository, and DOI.

8. Restrictions and Ethics

Data may be restricted due to:

  •   personal data,
  •   security risks,
  •   contractual obligations.

 

In such cases, the author:

  •   explains the reasons in the DAS,
  •   provides minimum metadata,
  •   ensures anonymisation or controlled access.

 

It is recommended to publish:

  •   anonymised data;
  •   aggregated data;
  •   synthetic datasets.

 

If disclosure of primary data is not possible, authors are encouraged to publish, where feasible, anonymised, aggregated, or synthetic data that allow verification of the analytical logic without violating ethical or legal requirements.

 

≥70% of empirical articles must include DOIs of datasets.

9. Quality Control

The Editorial Office provides procedural oversight, but does not manage data directly.

Specifically, the Editorial Office:

  •   requires a DAS at the submission stage;
  •   verifies the presence and validity of DOIs;
  •   assesses FAIR compliance during peer review;
  •   may return articles to authors if requirements are not met.

 

Reviewers are also involved in assessing the transparency and reproducibility of data.