The Revenue Law Journal (RLJ) supports transparency, reproducibility, and the responsible sharing of research data. In line with the recommendations of the International Committee of Medical Journal Editors (ICMJE), the Committee on Publication Ethics (COPE), and international best practices in scholarly publishing, the journal encourages authors to make the data underlying their published research available whenever possible.
Authors are encouraged to share the data, materials, software, protocols, and supporting documentation that underpin their research findings. Data sharing promotes transparency, facilitates independent verification of results, and enhances the reliability and impact of published research.
Authors are encouraged to include a Data Availability Statement in their manuscript indicating:
If no data are available, authors should clearly explain the reason.
Authors are encouraged to deposit research data in recognized institutional, disciplinary, or public data repositories that provide long-term preservation and public access. Data should be assigned persistent identifiers, such as a DOI, whenever possible.
Data sharing must not compromise:
Where necessary, authors should anonymize data or apply appropriate access restrictions before sharing.
Editors and reviewers may request access to supporting data when necessary to evaluate the validity, integrity, or reproducibility of the research. Authors should be prepared to provide the requested data during the peer-review process, unless legal or ethical restrictions apply.
The journal recognizes that certain data cannot be shared due to:
In such cases, authors should clearly explain the reasons for restricted access in their Data Availability Statement.
Authors are responsible for ensuring that:
Revenue Law Journal encourages responsible data sharing to strengthen research integrity, promote collaboration, and support the advancement of knowledge. While data sharing is strongly encouraged, the journal recognizes that it may not be possible for all studies. Authors are therefore expected to provide a clear and transparent explanation regarding the availability of the data supporting their published research.