Data Availability Policy

Authors are encouraged to provide a Data Availability Statement in their manuscripts indicating whether the data supporting the findings of the study are available and, if so, where they can be accessed.

Examples include:

• The data supporting the findings of this study are available in the article and its supplementary materials.
• The datasets generated and/or analyzed during the current study are available in a public repository at [repository name and link].
• The data that support the findings of this study are available from the corresponding author upon reasonable request.
• Restrictions apply to the availability of these data due to ethical, legal, privacy, or commercial considerations.

Data Sharing

Authors are encouraged to deposit research data in recognized public repositories whenever possible. Examples include Zenodo, Figshare, Dryad, Kaggle, GitHub, institutional repositories, and domain-specific repositories.

Exceptions

Data sharing may not be possible in cases involving:

• Patient confidentiality and privacy concerns.
• Legal or contractual restrictions.
• Proprietary or commercially sensitive information.
• National security or ethical considerations.

In such cases, authors should clearly explain the reasons for data restrictions within the Data Availability Statement.

Responsibility of Authors

Authors are responsible for:

• Ensuring the accuracy and integrity of shared data.
• Obtaining appropriate permissions for data sharing.
• Complying with applicable ethical and legal requirements.
• Providing sufficient information to enable validation and replication of the research where feasible.

Recommended Repositories

Authors are encouraged to use trusted repositories that provide persistent identifiers (such as DOIs) and long-term preservation of research data.

This policy supports the journal's commitment to open science, research transparency, and reproducible scholarly communication.

The journal may request access to underlying data during the peer-review process if necessary to verify research findings. Failure to provide requested data without valid justification may affect editorial decisions.