The peer-reviewed scholarly journal Obraz supports the principles and values of Open Science and considers open research data an essential component for ensuring the transparency and reproducibility of scientific research.

The Editorial Board encourages authors to manage and share research data underlying published results in accordance with the FAIR principles (Findability, Accessibility, Interoperability, Reusability):

• Findable: Data should be easily discoverable by both humans and computer systems through unique identifiers (e.g., DOI).
• Accessible: Data should be accessible via clearly defined protocols (e.g., open access or access upon request).
• Interoperable: Data should be presented in formats that allow integration and joint use with other datasets.
• Reusable: Data should be well described (metadata), assigned a unique identifier (e.g., DOI), and accompanied by an appropriate license (e.g., Creative Commons).

This implies free online access to materials, archival data, and research results, which may be used, copied, and distributed in accordance with the licensing terms and with mandatory citation of the original source.

Primary datasets may include text corpora, digital copies of manuscripts and objects, tabular or structured data, results of sociological surveys, graphical materials, audio and video files, archival materials, and other relevant data.

The Editorial Board encourages the following main approaches to providing access to research data:

• publication of datasets as supplementary materials linked to the scientific article (enhanced publication);
• deposition of datasets in research data repositories, including institutional, national, or international repositories (e.g., Harvard Dataverse, Figshare, Zenodo, etc.), with publicly available metadata and persistent identifiers (e.g., DOI) and mandatory source attribution.

If open access to data is not possible due to ethical, legal, or security reasons, authors must clearly state this and describe the conditions of access.

For research involving data from human participants or other confidential information, the Editorial Board encourages authors to share de-identified or anonymized datasets. Data sharing must never compromise participant confidentiality.

Results of research funded by public sources should be openly accessible, except in cases of restricted access (e.g., respondents’ personal data or copyright restrictions on archival materials).

The Editorial Board encourages authors submitting manuscripts to include a Data Availability Statement, for example:

• Option A: “The datasets analyzed in this study are available in the [Name] repository at: doi.org.”
• Option B: “The data are available from the corresponding author upon reasonable request due to [reason for restriction, e.g., patient confidentiality].”
• Option C: “All data generated or analyzed during this study are included in this article (or its supplementary materials).”

The Editorial Board also encourages authors to include the dataset DOI in the References section as a separate citation.