The Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA) expects authors to maintain accurate, reliable, and appropriately documented research data throughout the research and publication process.

Authors are responsible for ensuring that data presented in a manuscript accurately represent the research conducted. Methods of data collection, processing, analysis, transformation, and reporting must be described sufficiently to support the interpretation and evaluation of the reported findings.

Authors must not fabricate, falsify, selectively manipulate, or intentionally misrepresent research data. Any practice that compromises the accuracy, reliability, or integrity of research findings is unacceptable.

Data integrity applies to all research materials and outputs, including:

• Raw and processed datasets.
• Experimental observations.
• Survey responses.
• Computational outputs.
• Statistical results.
• Mathematical calculations.
• Images and figures.
• Tables and visual representations.
• Software-generated results.
• Supplementary research materials.

Any transformation, normalization, filtering, exclusion, imputation, or preprocessing of data should be methodologically justified and appropriately described. Authors must report procedures that may influence the interpretation, reliability, or validity of the results.

Authors should retain appropriate research records and, where ethically and legally permissible, be prepared to provide supporting data or documentation when requested by the editorial team. Such records should be sufficiently complete to support the verification of the research process and reported findings.

Where data cannot be shared openly because of privacy, confidentiality, intellectual-property rights, contractual obligations, security concerns, or other legitimate restrictions, authors should clearly explain the applicable limitations.

Authors remain responsible for ensuring that restrictions on data sharing are appropriately documented and consistent with applicable legal, ethical, and institutional requirements.

Authors are encouraged to provide sufficient information and supporting materials to enable readers to understand, evaluate, and, where feasible, reproduce the reported research.

Depending on the nature of the study, these materials may include:

• Datasets and data descriptions.
• Analytical procedures and methodological documentation.
• Software, source code, and computational tools.
• Parameters and experimental settings.
• Models, algorithms, and implementation details.
• Supplementary files.
• Other materials necessary to understand or reproduce the reported results.

The editorial team of the Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA) may request original data, supporting documentation, or other relevant research materials when substantial concerns arise regarding the validity, reliability, or integrity of reported results. Any request will be considered in accordance with applicable ethical, legal, confidentiality, and data-protection requirements.

If errors are identified in published data, authors should notify the editorial office promptly and provide relevant information to support an appropriate assessment.

Depending on the nature and significance of the issue, the journal may publish a correction, issue an expression of concern, or retract the article in accordance with its editorial policies and publication ethics principles.

Research data must be managed honestly, transparently, and responsibly throughout the research and publication process. Compliance with this policy forms part of the broader commitment of the Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA) to research integrity, methodological transparency, reproducibility, and responsible scholarly publishing.