Data Sharing Policy

At the Journal of Economics and Management Technologies (JEMTECH), we are committed to promoting openness, transparency, and reproducibility in scientific research. We encourage authors to share the data, code, and materials that support their findings to ensure broader accessibility and verification of research. Making data openly available allows for greater collaboration, validation, and innovation within the scientific community. However, we also recognize that there may be ethical, legal, or security concerns that limit data sharing.

01  Data Availability Statement

Authors are required to include a Data Availability Statement in their manuscript, specifying whether the data supporting their findings are publicly accessible, where the data can be found (such as in an online repository with a DOI or in supplementary files), and whether any restrictions apply. JEMTECH recommends using trusted repositories as well as institutional or discipline-specific repositories where applicable.

02  Data Citation and Licensing

When data are publicly available, authors must provide a formal citation in the reference list, including a persistent identifier (such as a DOI or accession number). To facilitate reuse and transparency, we encourage authors to license their datasets under an open-access license, such as Creative Commons Attribution (CC BY 4.0).

03  Ethical and Legal Considerations

Authors are responsible for ensuring that their data-sharing practices comply with ethical and legal guidelines, including obtaining proper consent when human subjects are involved and adhering to data protection regulations such as GDPR or HIPAA. If data cannot be shared due to confidentiality agreements, intellectual property protections, or security concerns, authors must provide a clear justification in their Data Availability Statement.

04  Open Science and FAIR Principles

As part of our commitment to Open Science, Journal of Economics and Management Technologies (JEMTECH) supports the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles, ensuring that research data remain accessible, usable, and beneficial to the wider scientific community. By sharing data transparently, authors contribute to a more collaborative, rigorous, and trustworthy scientific ecosystem.

05  Data Sharing Principles

Transparency - Authors should clearly state how and where supporting data can be accessed.
Reproducibility - Data, code, and materials should be shared where appropriate to facilitate verification and reuse.
Responsible Sharing - Data sharing must respect ethical, legal, privacy, intellectual property, and security requirements.
Persistent Access - Publicly available datasets should, where possible, include a persistent identifier such as a DOI or accession number.