Data Sharing and Deposition

Last Updated: April 2026

In accordance with our commitment to the FAIR principles (Findability, Accessibility, Interoperability, and Reuse), we require authors to provide comprehensive information that allows others to access and utilize the underlying research data. This access is governed by the terms agreed upon at the time of publication. Where appropriate, authors are strongly encouraged to deposit their data in recognized public databases.

To ensure long-term discoverability, such data should be associated with a unique identifier, such as a Digital Object Identifier (DOI), which must be formally cited within the manuscript. Our editorial office makes every reasonable effort to ensure that data associated with published work is preserved for long-term accessibility to support the global scientific community.

Confidentiality and Ethical Handling

The handling of research data is subject to strict legal and ethical regulations. Sensitive data, particularly that involving human subjects or proprietary information, must be managed with the utmost confidentiality. Authors are prohibited from sharing such data without the express, written consent of all involved parties and must ensure that all data-sharing practices comply with applicable jurisdictional laws. This balance between transparency and privacy is fundamental to our editorial mission, ensuring that research remains open while respecting the rights of participants and stakeholders.

Data Management Planning and Reporting

To support the reproducibility of scientific findings, all submissions should be accompanied by a comprehensive Data Management Plan (DMP). This plan must detail the specific methodologies utilized for data collection, processing, and analysis. Authors are expected to clearly outline the mechanisms for sharing this data with the wider scientific community, facilitating a standardized reporting environment. By integrating these plans into the submission workflow, we aim to enhance transparency, enable the independent verification of findings, and encourage scientific synergy through the reuse of data in future innovative research.