The UniVlora Scientific Journal (UVSJ) is committed to promoting transparency, reproducibility, and the responsible sharing of research data. The journal encourages authors to make the data supporting the findings of their research openly available whenever possible, while respecting ethical, legal, and confidentiality obligations.

The journal recognizes that data sharing enhances the integrity of the scholarly record, facilitates the verification of research findings, and promotes the reuse of scientific data for future research and innovation.

Data Availability Statement

Authors are required to include a Data Availability Statement in every manuscript submitted to the UniVlora Scientific Journal.

The statement should clearly indicate:

• whether the data supporting the findings are publicly available;
• where the data can be accessed (including the name of the repository and persistent identifier, such as a DOI, where applicable);
• any restrictions on access to the data;
• if no new data were generated or analyzed during the study.

The Data Availability Statement will be published as part of the final article.

Data Sharing

Authors are encouraged to deposit research data in recognized institutional, disciplinary, or general-purpose repositories that provide long-term preservation and public access.

Examples of suitable repositories include institutional repositories, discipline-specific repositories, and trusted general repositories that assign persistent identifiers.

Where possible, datasets should be accompanied by sufficient documentation to enable interpretation and reuse.

Restrictions on Data Sharing

The journal recognizes that some data cannot be shared openly due to:

• protection of personal data and privacy;
• confidentiality agreements;
• ethical restrictions;
• legal or regulatory requirements;
• intellectual property considerations;
• national security or other legitimate public interest concerns.

Where data cannot be made publicly available, authors should clearly explain the reason in the Data Availability Statement and indicate whether access may be granted upon reasonable request, subject to applicable restrictions.

Research Involving Human Participants

For studies involving human participants or sensitive personal information, authors must ensure that data sharing complies with applicable ethical standards, informed consent requirements, institutional policies, and relevant data protection legislation.

Personally identifiable information must not be disclosed unless explicit authorization has been obtained and publication is legally and ethically justified.

Editorial Responsibilities

Editors and reviewers may request access to the underlying data during the peer-review or editorial process if this is necessary to evaluate the scientific validity, integrity, or reproducibility of the research.

Authors are expected to cooperate with reasonable requests for supporting data, subject to ethical and legal constraints.

Research Integrity

Failure to provide supporting data when reasonably requested, or evidence that reported data have been fabricated, falsified, or intentionally misrepresented, may result in rejection of the manuscript or, where appropriate, post-publication actions in accordance with the journal's Publication Ethics Policy and the guidance of the Committee on Publication Ethics (COPE).

Example Data Availability Statements

Authors may use statements such as:

• Openly available data:
  The data supporting the findings of this study are publicly available in [Repository Name] at [DOI or persistent link].
• Available on request:
  The data supporting the findings of this study are available from the corresponding author upon reasonable request.
• Restricted data:
  The data are not publicly available because they contain confidential information or personal data that cannot be shared in accordance with ethical and legal requirements.
• No new data generated:
  No new data were generated or analyzed in support of this research.

Commitment to Open Science

The UniVlora Scientific Journal encourages responsible research data management and supports the FAIR Data Principles - that research data should be Findable, Accessible, Interoperable, and Reusable - whenever appropriate. The journal's Data Availability Policy is aligned with the recommendations of the Directory of Open Access Journals (DOAJ), Crossref, and internationally recognized best practices for transparent and reproducible scholarly publishing.