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Państwo i Społeczeństwo / State and Society

Data Sharing and Reproducibility Policy

Commitment to Open Research

Państwo i Społeczeństwo / State and Society is committed to fostering transparency, reproducibility, and the broad dissemination of research. We strongly encourage authors to make the research data supporting their findings publicly available, whenever legally and ethically possible. Sharing data enhances the robust verification of research results and allows the academic community to build upon existing work.

Data Repositories and FAIR Principles

We recommend that authors deposit their datasets in recognized, publicly accessible data repositories (e.g., Zenodo, Figshare, Harvard Dataverse, Mendeley Data, or dedicated institutional repositories) that align with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). Data should be provided in non-proprietary formats (e.g., .csv, .txt) to ensure long-term accessibility.

Data Availability Statement (DAS)

All submitted manuscripts must include a "Data Availability Statement" placed before the References section. This statement should explain whether and how the data used in the study can be accessed.

Authors should use one of the following templates for their Data Availability Statement:

Data publicly available: The data presented in this study are openly available in [repository name] at [DOI or permanent URL].

Data available on request: The data supporting the findings of this study are available from the corresponding author upon reasonable request. [Optional: Specify the reason restrictions apply, e.g., due to privacy concerns].

Third-party data: Restrictions apply to the availability of these data. Data were obtained from [third party] and are available [from the authors / at URL] with the permission of [third party].

No new data created: No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Data restricted due to ethical/legal reasons: The data are not publicly available due to [state specific ethical, legal, or privacy restrictions, e.g., containing sensitive medical information or identifiable human data].

Data Citation

If authors use existing datasets or share their own, the datasets must be formally cited in the text and included in the reference list, just like a standard literature citation. The reference should include the author(s), publication year, dataset title, data repository, and a persistent identifier (e.g., DOI).

Vol. 26 (2026)
Published: 2026-01-01



eISSN: 2451-0858
Logo DOI 10.31749/2451-0858-SaS

Publisher
AFM Publishing House of the Andrzej Frycz Modrzewski Krakow University

Licence CC

Licencja CC BY-NC-ND

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