Data Sharing and Accessibility Policy

Data Sharing & Accessibility Policy

Sinergi International Journal of Economics 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. This may include economic datasets, financial data, household and firm surveys, labor-market data, trade statistics, policy indicators, development data, macroeconomic and microeconomic variables, questionnaires, interview materials, analytical code, model specifications, and other resources supporting the published findings. Data sharing must respect participant privacy, confidentiality, intellectual property, contractual obligations, commercial sensitivity, third-party restrictions, 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 economics, finance, development studies, public policy, or related research.

Economic research data should be accompanied by sufficient documentation to allow readers to understand how the data were obtained, constructed, cleaned, transformed, modeled, and analyzed. Where relevant, authors should provide variable definitions, codebooks, data dictionaries, questionnaires, sampling documentation, model specifications, analytical scripts, statistical code, weighting procedures, and methodological notes.

Data should be provided in appropriate, reusable, and preferably open or machine-readable formats, accompanied by sufficient metadata, variable descriptions, documentation, and methodological information to support interpretation, verification, and responsible reuse.

3. Ethical, Legal & Confidential Data

Data sharing must not compromise ethical obligations, participant confidentiality, personal information, informed consent, commercially sensitive information, proprietary financial data, institutional confidentiality, 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. Where access is restricted, authors should provide clear metadata and explain the conditions under which access may be obtained. Confidential economic, financial, household, firm-level, taxation, banking, or proprietary datasets may require controlled or restricted access.

5. Editorial Oversight

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

For economic research, this may include requests for anonymized datasets, variable definitions, survey instruments, model specifications, econometric code, statistical outputs, weighting procedures, robustness checks, financial data, trade data, policy indicators, or other supporting materials relevant to the reported findings.

Inaccurate or misleading data availability statements, unjustified refusal to provide data for confidential editorial verification, 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 research-data sharing practices.