Data Integrity

 
Research Data Integrity

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.

Author Responsibility

Authors are responsible for ensuring that data presented in a manuscript accurately represent the research conducted and that methods of data collection, processing, analysis, transformation, and reporting are described sufficiently.

Prohibited Data Practices

Authors must not fabricate, falsify, selectively manipulate, or intentionally misrepresent research data.

Data Covered by Data Integrity

Data integrity includes the responsible management of:

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

Any transformation, normalization, filtering, exclusion, imputation, or preprocessing of data should be methodologically justified and appropriately described.

Research Records and Supporting Documentation

Authors should retain appropriate research records and, where ethically and legally permissible, be able to provide supporting data or documentation when requested by the editor.

Data Sharing and Legitimate Restrictions

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

Authors remain responsible for ensuring that any restrictions on data sharing are appropriately documented and consistent with applicable requirements.

Reproducibility and Research Materials

Authors are encouraged to provide sufficient information to support reproducibility of the research.

Where appropriate, this may include:

  • Datasets.
  • Analytical procedures.
  • Software and source code.
  • Parameters.
  • Models.
  • Supplementary files.
  • Other materials necessary to understand or reproduce the reported results.
Editorial Request for Data

The journal may request original or supporting data when substantial concerns arise regarding the validity or integrity of reported results.

Errors in Published Data

If errors are identified in published data, authors should notify the editorial office promptly.

Depending on the nature and significance of the issue, the journal may publish a correction, expression of concern, or retraction.

Data Integrity and Publication Ethics

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 Journal of Decision Support Systems and Multi-Criteria Decision Making (JODESMA) to research integrity and responsible scholarly publishing.