Data Availability and Reproducibility Policy

The Journal of Computers, Mechanical and Management requires authors to make the data, code, and other research artefacts that support the conclusions of their work available to readers, subject to clearly stated and legitimate restrictions. The journal aligns its policy with the FAIR principles (Findable, Accessible, Interoperable, Reusable).

Mandatory Data Availability Statement

Every manuscript must include a Data Availability Statement, placed in a dedicated section between the Conclusions and the References. The statement specifies what data underlie the findings reported in the article and how those data may be accessed.

Acceptable forms of data availability

Authors should select the option below that best fits their study. Multiple options may apply.

  1. Data in a public repository. The data are deposited in a public repository (Zenodo, Figshare, Dryad, IEEE DataPort, GitHub for code, or a discipline-specific repository) with a persistent identifier. Provide the repository name, the persistent identifier or URL, and the access terms.
  2. Data included in the article and supplementary information. The data are fully reported in the article and its supplementary files; no separate dataset is required.
  3. Data available on reasonable request. The data are available from the corresponding author on reasonable request, subject to specified conditions (for example, institutional data-sharing agreement, ethics committee approval).
  4. Restricted data. The data are subject to restrictions (for example, commercial confidentiality, personal data protection, ethics approval limits). Specify the nature of the restriction and the conditions under which the data may be obtained.
  5. No new data created. The study used only previously published data; cite the original sources.

Code and software availability

Where the study uses or produces software or code, authors are required to:

  • Cite all third-party software used, with version numbers, in the methods section;
  • Make any custom code that is essential to reproducing the reported results available in a public repository (GitHub, GitLab, Zenodo) with a persistent identifier;
  • Specify the licence under which the code is released. Recommended licences are MIT, Apache 2.0, GPL, or BSD for code, and CC BY for data.

Materials availability

For studies that involve specific physical or digital materials such as trained models, manufactured artefacts, or custom test rigs, authors should describe the materials in sufficient detail for replication and indicate whether the materials are available on request.

Reproducibility

The journal encourages submissions to include a Reproducibility section describing the computational environment (operating system, library versions, hardware), the random seeds used, and the steps required to reproduce the reported results from the published code and data.

Example statements

Example 1: public repository. "The dataset analysed in this study is available in the Zenodo repository at https://doi.org/10.5281/zenodo.EXAMPLE under a CC BY 4.0 licence. Custom analysis code is available at https://github.com/EXAMPLE under an MIT licence."

Example 2: reasonable request. "The data that support the findings of this study are available from the corresponding author on reasonable request. Restrictions apply to the availability of these data, which were used under licence for the present study and are not publicly available."

Example 3: no new data. "No new data were created or analysed in this study. All data referenced in this work are publicly available from the cited sources."