Data Sharing Policy
Journal of Intelligent Systems and Future Computing (JISFC) supports open science and encourages transparency, reproducibility, and accessibility in research. This policy outlines the journal's expectations regarding the sharing of data and code associated with submitted and published manuscripts.
Data Sharing Requirement
Authors are strongly encouraged to make all data, code, and materials supporting the findings of their manuscript publicly and openly available in a recognized repository, unless privacy, confidentiality, ethical, or legal constraints prevent this. Where such constraints apply, this must be clearly stated in the manuscript.
Recommended Repositories
Authors are encouraged to deposit data and code in trusted, discipline-appropriate repositories (e.g., Zenodo, Figshare, GitHub with archival DOI via Zenodo, IEEE DataPort, or an institutional repository). Repositories should provide a persistent identifier (e.g., a DOI) to ensure long-term accessibility and citability, consistent with the FAIR data principles (Findable, Accessible, Interoperable, Reusable).
Data Availability Statement
All submitted manuscripts must include a Data Availability Statement specifying where and how the underlying data can be accessed — for example: "The data supporting this study are available at [repository link] under DOI: [identifier]." Where data are not shared, the statement must explain why.
Code Availability Statement
Where a manuscript involves the development or use of software, models, or code central to the study's findings, authors are encouraged to include a Code Availability Statement identifying where the code can be accessed (e.g., a public GitHub repository with an archived, citable release).
Access During Peer Review
During peer review, reviewers and editors may request access to underlying data or code to verify results, assess reproducibility, or evaluate research integrity. Authors must provide such access promptly and in a usable format.
Author Contribution and Attribution
JISFC encourages authors to follow the CRediT taxonomy for describing individual author contributions, and to properly cite any datasets or software used or produced in the course of the research.
Non-Compliance
Manuscripts that do not include a Data Availability Statement will be returned to the authors prior to peer review.







