Data, AI and Research Integrity

The Journal of Algebra Combinatorics Discrete Structures and Applications is committed to research integrity, transparency, and responsible scholarly communication. Authors are expected to present their results honestly and to provide sufficient information for readers, reviewers, and editors to assess the validity and reproducibility of the work, where applicable.

Research Integrity

Authors must ensure that all results, proofs, computations, examples, algorithms, data, code, figures, tables, and statements included in a manuscript are accurate and honestly presented. Fabrication, falsification, manipulation, or misrepresentation of research material is not acceptable.

Manuscripts must be prepared in a way that allows scholarly assessment of the claims being made. In mathematical papers, this includes clear definitions, precise statements, complete arguments, correct notation, and sufficient explanation of methods, proofs, examples, computations, or constructions.

Data Availability

Authors must include a data availability statement where applicable. If datasets were generated or analyzed during the study, authors should indicate where the data can be accessed or explain any restrictions on access.

If no datasets were generated or analyzed during the study, authors may use the following statement:

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

Code, Software and Computational Results

Where computational methods, algorithms, software, code, or computer-assisted calculations are central to the results of a manuscript, authors should provide sufficient detail to allow appropriate scholarly assessment. This may include a description of the software used, parameter settings, algorithmic procedures, code availability, or supplementary material where appropriate.

If code or software is made available, authors should provide a stable link, repository location, version information, or other relevant details. If code or software cannot be shared, authors should explain the reason where appropriate.

Reproducibility

The journal encourages authors to provide enough information for readers and reviewers to verify the correctness of arguments, computations, examples, and constructions. Mathematical claims should be supported by clear reasoning, rigorous proof, or appropriate computational evidence where applicable.

Supplementary Material

Supplementary material may be submitted when it supports the scholarly content of the manuscript. Supplementary material may include datasets, code, extended computations, tables, figures, examples, or other files relevant to the manuscript.

Supplementary material should be clearly identified and should not replace essential arguments, definitions, proofs, or explanations that are necessary for understanding the main article.

Generative AI and AI-assisted Technologies

Authors must disclose whether generative AI or AI-assisted technologies were used in the preparation of the manuscript. Such tools may assist with routine language editing, grammar checking, formatting, or similar editorial tasks, but they must not replace the authors' responsibility for the accuracy, originality, integrity, and scholarly content of the manuscript.

Generative AI tools must not be listed as authors. Authorship requires accountability, responsibility, and the ability to approve the final version of the work, which AI tools cannot provide.

AI Disclosure Statement

If no generative AI or AI-assisted technologies were used, or if they were used only for routine language or editorial corrections, authors may use the following statement:

The author(s) declare that no generative AI or AI-assisted technologies were used in the preparation of this manuscript, except for tools used solely for spelling, grammar, language editing, reference formatting, or similar routine editorial corrections.

If generative AI or AI-assisted technologies were used for a broader purpose, authors should disclose the tool and its purpose. The following statement may be adapted:

During the preparation of this manuscript, the author(s) used [tool name] for [purpose]. After using this tool/service, the author(s) reviewed, edited, and verified all AI-assisted content and take full responsibility for the accuracy, originality, integrity, and scientific content of the published article.

Responsibility for AI-assisted Content

Authors remain fully responsible for all content in their manuscript, including any content produced or edited with the assistance of AI tools. Authors must verify the accuracy of references, mathematical statements, formulas, proofs, examples, computations, and all other scholarly content. AI-generated inaccuracies, hallucinated references, fabricated claims, or unsupported statements are the responsibility of the authors.

Misuse of AI

The use of AI tools to fabricate data, generate false references, manipulate peer review, create misleading content, or conceal plagiarism or other misconduct is prohibited. If misuse of AI is identified, the journal may reject the manuscript or take post-publication action in accordance with its publication ethics policies.

Contact

Questions about data availability, code, computational material, AI disclosure, or research integrity should be directed to the editorial office at info@jacodesmath.com.