This policy promotes transparency and integrity by encouraging authors to share data and methods, ensuring that research findings are reproducible.

1. Data Sharing

• Authors are encouraged to make raw data, code, and methods used in their research publicly available.
• Data should be shared in a repository where it can be accessed by others, except in cases where confidentiality or privacy restrictions apply.

2. Reproducibility

• Authors must provide sufficient details about their methodology, data collection, and analysis to allow others to replicate the study.
• Clear descriptions of the research process, including any statistical or computational tools used, should be included in the manuscript.

3. Exceptions

• Data sharing may be limited if it involves sensitive information or privacy concerns (e.g., human subject data). Authors should explain any such restrictions in the submission.

4. Responsibilities

• Authors: Must ensure that their data and methods are made available to facilitate reproducibility and verification of their findings.
• Editors: Will ensure that data sharing and reproducibility requirements are met during the review process.

5. Consequences
Failure to comply with data sharing and reproducibility standards may affect the acceptance or publication of the manuscript.