Data Sharing Policy
At the Cognitia : International Engineering Journal, 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.
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. CIEJ recommends using trusted repositories as well as institutional or discipline-specific repositories where applicable.
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, authors are encouraged to license their datasets under an open-access license, such as Creative Commons Attribution (CC BY 4.0), where appropriate.
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 applicable data protection regulations such as GDPR or HIPAA. If data cannot be shared due to confidentiality agreements, intellectual property protections, privacy requirements, or security concerns, authors must provide a clear justification in their Data Availability Statement.
As part of our commitment to Open Science, CIEJ supports the FAIR principles for research data:
Research data should be identifiable and discoverable through appropriate metadata and persistent identifiers.
Data should be accessible through appropriate repositories and under clearly defined conditions.
Data should use appropriate standards and formats to support integration and reuse.
Data should be sufficiently documented and licensed to enable responsible future reuse.
By sharing data transparently and responsibly, authors contribute to a more collaborative, rigorous, and trustworthy scientific ecosystem. CIEJ encourages responsible data sharing while respecting ethical, legal, privacy, intellectual property, and security considerations.