Data Sharing Policy
Research Pillars Publishing supports open, transparent, and reproducible research. Authors are expected to make the data underlying their published findings available, subject to appropriate ethical, legal, and privacy safeguards.
Data Availability Statement
Every research article must include a Data Availability Statement specifying:
Where the underlying data can be accessed (e.g., a named public repository, supplementary files, or on request from the corresponding author).
Any conditions or restrictions on access (e.g., ethical, legal, or privacy-based restrictions, and the process for requesting access where relevant).
Persistent identifiers (e.g., DOIs, accession numbers) for deposited datasets, where available.
Recommended Repositories
Authors are encouraged to deposit data in an established, trusted, discipline-appropriate public repository (e.g., a domain-specific repository, or a generalist repository such as those supporting DataCite DOIs) rather than relying solely on personal or institutional websites.
Exceptions
Data sharing may be limited or restricted where:
Data contain identifiable personal or patient information and public sharing would violate participant privacy or informed consent terms.
Data are subject to legal, contractual, or third-party ownership restrictions (e.g., proprietary datasets, national security considerations).
Data pertain to endangered species, sensitive cultural sites, or other content where open disclosure could cause harm.
In such cases, authors must still describe, in the Data Availability Statement, the nature of the restriction and, where possible, a mechanism for qualified researchers to request access (e.g., via a data access committee).
Code and Software
Where original code, scripts, or software (including AI/ML models) are integral to reproducing the reported results, authors are encouraged to make these available via a public code repository, with adequate documentation to support reproducibility.
Verification
Editors and reviewers may request access to underlying data or code during peer review to verify reported results. Such material is treated with the same confidentiality as the manuscript itself.