Research Data Policy
Data Availability
An article’s data availability statement lets a reader know where and how to access data that support the results and analysis. It may include links to publicly accessible datasets that were analysed or generated during the study, descriptions of what data are available and/or information on how to access data that is not publicly available.
The following table provides sample texts to assist authors in developing this statement according to the data situation.
| Data availability status | Recommended Statement |
|---|---|
| Data available in a publicly accessible repository | The original data from this study are publicly available in [repository name], accessible at [DOI/URL] or [reference/accession number]. |
| Data available on request due to restrictions | The data from this study can be obtained upon request from the corresponding author ([email address]), specifying the reasons for the restriction. |
| Data contained within the article or supplementary material | All the information needed to reproduce this study is included in the article or its supplementary materials. |
| No new data were generated (theoretical study or review) | This study did not generate or analyze new data. The work is theoretical in nature or describes a review of existing knowledge. |
| Other specific situations | The data in this study are subject to specific conditions, which may include legal restrictions, temporary embargoes, use of third-party data, or derivation from public resources. For these cases, specific details are included in the article text or can be requested from the corresponding author. |
Requirement. All research articles must include a Data Availability Statement, using one of the templates above. Reviews and theoretical papers use: "This study did not generate or analyze new data."
Authors are encouraged to deposit their study data in community-recognized, discipline-specific repositories. If no suitable discipline-specific repository is available, generalist repositories such as Zenodo(https://zenodo.org) or repositories provided by universities, funders, or institutions may be used. Deposited data should comply with the FAIR principles (Findable, Accessible, Interoperable, Reusable). For specific requirements, authors are advised to consult the journal's guidelines to ensure the selected repository aligns with our policies.
Data Citation and Handling
Authors must properly cite the datasets used or generated in their research, including details such as the dataset's author, title, repository where it is hosted, and its unique identifier (such as a DOI). This ensures proper credit to original creators, promotes transparency, and facilitates study reproducibility. For sensitive or confidential data, authors are expected to take necessary precautions to protect privacy and data security, including anonymizing identifiable information and adhering to legal and ethical standards, such as obtaining informed consent and approval from an ethics committee. If sensitive data cannot be publicly shared, this must be clearly stated in the article, specifying whether it is available upon request or cannot be disclosed.