The Journal of Soft Computing and Artificial Intelligence (JSCAI) supports transparency, reproducibility, research integrity, and responsible data sharing in scholarly publishing.

Authors are encouraged to make research data, code, software, supplementary materials, and other relevant research outputs available whenever possible, provided that such sharing does not violate ethical, legal, privacy, confidentiality, institutional, or intellectual property restrictions.

All manuscripts submitted to JSCAI must include a Data Availability Statement where applicable.

• Data Availability Statement

Authors must clearly state whether data were generated, analyzed, used, or shared during the study.

The data availability statement should indicate one of the following conditions:

The data are publicly available.
The data are available from the corresponding author upon reasonable request.
The data cannot be shared due to ethical, legal, privacy, confidentiality, commercial, or institutional restrictions.
No datasets were generated or analyzed during the current study.

The statement should be included in the Article Information section of the manuscript.

• Publicly Available Data

If the study uses publicly available datasets, authors should cite the dataset properly and provide access information.

Authors should include the repository name, access link, DOI, accession number, or other relevant identifier where available.

Authors may use the following statement:

The data used in this study are publicly available at [repository name/link/DOI/accession number].

• Data Generated During the Study

If new data were generated during the study, authors are encouraged to deposit the data in a trusted repository whenever possible.

Authors should provide sufficient documentation, metadata, file descriptions, and access information to support verification, reuse, and reproducibility.

Authors may use the following statement:

The data generated during the current study are available in [repository name] at [link/DOI/accession number].

• Data Available Upon Request

If data cannot be made publicly available but can be shared upon reasonable request, authors may use the following statement:

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Authors should ensure that sharing data upon request does not violate ethical approvals, informed consent, privacy regulations, confidentiality agreements, institutional rules, or legal restrictions.

• No Data Generated or Analyzed

For theoretical, conceptual, mathematical, review, simulation-based without external datasets, or methodological studies that do not generate or analyze datasets, authors may use the following statement:

No datasets were generated or analyzed during the current study.

• Restricted Data

If data cannot be shared due to ethical, legal, privacy, confidentiality, commercial, security, or institutional restrictions, authors must clearly state the reason.

Authors may use the following statement:

The data are not publicly available due to ethical, legal, privacy, or confidentiality restrictions.

Where applicable, authors should explain whether access may be requested under specific conditions or why access cannot be granted.

• Repository Policy

Authors are encouraged to deposit datasets, code, software, protocols, supplementary files, and other research outputs in trusted repositories.

Suitable repositories may include:

Institutional repositories
Subject-specific repositories
General-purpose repositories
Internationally recognized data repositories
Software and code repositories

When depositing research outputs, authors should provide sufficient metadata, documentation, version information, file descriptions, citation information, and access conditions.

Repository records should be cited in the manuscript where appropriate.

• Code and Software Availability

For studies involving algorithms, computational models, machine learning experiments, software, scripts, simulations, or data analysis workflows, authors are encouraged to provide code or software whenever possible.

Authors may use the following statement:

The code used in this study is available at [repository name/link/DOI].

If code or software cannot be shared, authors should clearly explain the reason.

Authors are responsible for ensuring that shared code does not violate copyright, licensing, confidentiality, security, or institutional restrictions.

• Supplementary Materials

Authors may submit supplementary materials that support the manuscript.

supplementary materials may include:

Datasets
Tables
Figures
Algorithms
Source code
Appendices
Technical documents
Videos
Additional experimental results

supplementary materials should be relevant, clearly labeled, and cited in the manuscript.

supplementary materials are subject to editorial evaluation and should comply with the journal’s ethical, copyright, and publication policies.

• Ethical and Legal Responsibilities

Authors are responsible for ensuring that data sharing complies with ethical approvals, informed consent, privacy regulations, institutional rules, intellectual property rights, confidentiality agreements, and applicable laws.

Personal, sensitive, confidential, or identifiable data must not be shared unless appropriate consent, anonymization, and legal permissions have been obtained.

The editorial office may request additional information about data availability, ethics approval, informed consent, anonymization, repository access, or legal restrictions when necessary.

• Relation with Other Journal Policies

This policy should be read together with the journal’s Author Guidelines, Ethical Principles and Publication Policy, Peer Review Policy, and Open Access, Copyright and Licensing policy.

Authors are responsible for ensuring that data, code, software, supplementary materials, figures, tables, and reused content comply with ethical, legal, copyright, licensing, and confidentiality requirements.

• Final Statement

JSCAI encourages responsible data sharing and supports practices that improve transparency, reproducibility, research integrity, and scholarly communication.

Data availability statements are required where applicable and must accurately reflect the availability, accessibility, and restrictions of the data, code, software, and research materials associated with the manuscript.