Data Sharing and Availability Policy

Jurnal Trias Politika is committed to transparency and the reproducibility of scholarly research. In accordance with the Committee on Publication Ethics (COPE) Core Practices and the FAIR Data Principles (Findable, Accessible, Interoperable, and Reusable), the journal requires all authors to provide a clear statement regarding the availability of their research data.

1. Mandatory Data Availability Statement

Every published article must include a Data Availability Statement immediately before the References section. This statement informs readers about how and where the data supporting the findings can be accessed. Authors must select one of the following standard categories that best describes their data:

  • Publicly Available: The datasets are derived from publicly available legal documents, official statistics, or open-source literature. (e.g., "All data supporting the findings of this study are derived from publicly available legal documents and official statistics.")
  • Available on Request: The data are not publicly deposited but can be provided by the corresponding author upon reasonable request. (e.g., "All data supporting the findings of this study are available from the corresponding author upon reasonable request.")
  • Restricted / Confidential: The data contain sensitive personal, cultural, or political information (e.g., in-depth interview transcripts) that cannot be shared publicly to protect participant confidentiality. Authors may provide de-identified summaries or excerpts upon request.
2. Qualitative and Sensitive Data

Jurnal Trias Politika recognizes that research in political science, public administration, and governance often involves highly sensitive qualitative data. Authors are not required to publicly share data that would violate participant confidentiality, compromise personal privacy, or breach legal and ethical standards. However, authors must explicitly state the reasons for the restriction in their Data Availability Statement.

3. Data Sharing and Repositories

For quantitative or non-sensitive qualitative data, authors are highly encouraged to deposit their datasets in reputable public repositories to enhance visibility and reproducibility. Recommended repositories include:

  • Zenodo (https://zenodo.org/)
  • Figshare (https://figshare.com/)
  • Mendeley Data (https://data.mendeley.com/)
  • Harvard Dataverse (https://dataverse.harvard.edu/)
4. Data Verification During Peer Review

Editors and peer reviewers may request access to the underlying data or analytical materials during the review process to verify the validity of the findings. Authors must be prepared to provide these materials upon request, subject to ethical and privacy constraints.

5. Data Citation

When authors use data generated by others, they must properly cite the original dataset in the text and include it in the reference list. When authors share their own datasets in a public repository, they must cite their dataset in the article and ensure that the dataset includes a permanent identifier (such as a DOI).

6. Alignment with COPE and FAIR Principles

This policy strictly aligns with the COPE Core Practices on Data and Reproducibility. For further questions regarding data sharing, please contact the Editor-in-Chief.