Data Sharing and Accessibility Policy

Data Sharing & Accessibility Policy

Sinergi International Journal of Logistics supports responsible data sharing, research transparency, reproducibility, and FAIR data practices.

The journal encourages authors to make research data supporting their findings available whenever ethically, legally, and practically possible. In logistics, transportation, and supply-chain research, data sharing must respect commercial confidentiality, organizational agreements, personal information, operational security, intellectual property, contractual obligations, and applicable laws.

1. Data Availability Statement

All research manuscripts must include a Data Availability Statement indicating whether supporting data are available, where they can be accessed, and any applicable conditions or restrictions.

2. Data Repositories & Documentation

Where data can be shared, authors are encouraged to deposit them in a recognized disciplinary, general-purpose, or institutional repository that provides stable access and, preferably, a persistent identifier such as a DOI.

Appropriate repositories may include Zenodo, Figshare, Harvard Dataverse, Dryad, Open Science Framework (OSF), or a recognized institutional or disciplinary repository suitable for logistics, transportation, operations, supply-chain, or business research.

Data should be provided in appropriate, reusable, and preferably open or machine-readable formats, accompanied by sufficient metadata, variable descriptions, data dictionaries, codebooks, documentation, analytical procedures, model specifications, and methodological information to support interpretation and responsible reuse.

3. Ethical, Legal & Confidential Data

Data sharing must not compromise ethical obligations, personal information, organizational confidentiality, commercially sensitive information, proprietary operational data, supply-chain security, intellectual property, contractual obligations, or third-party agreements.

4. Data Citation & FAIR Principles

Shared datasets should be cited appropriately in the manuscript and reference list. Where available, authors should provide the dataset's creator(s), title, repository, year, version, and DOI or other persistent identifier.

FAIR does not necessarily mean that all data must be completely open. In logistics and supply-chain research, controlled access may be necessary to protect confidential business information, supplier relationships, customer data, trade-sensitive information, or operational security. Where access is restricted, authors should provide clear metadata and explain the conditions under which legitimate access may be obtained.

5. Editorial Oversight

The Editorial Team may request access to supporting or underlying data when necessary to verify reported results, investigate research-integrity concerns, assess analytical or methodological consistency, evaluate operational or supply-chain findings, or determine compliance with this policy.

Inaccurate or misleading data availability statements, unjustified refusal to provide data for legitimate editorial verification, breaches of confidentiality, or serious inconsistencies between the article and underlying data may result in further editorial review and appropriate action under the journal's publication-ethics and post-publication policies.

This policy is informed by the COPE Core Practice on Data and Reproducibility, the COPE–DOAJ–OASPA–WAME Principles of Transparency and Best Practice in Scholarly Publishing, the FAIR Guiding Principles, and established international practices for responsible research-data sharing, confidentiality, transparency, and reproducibility in logistics, transportation, operations, and supply-chain research.