Plagiarism Policy

Purpose:
The Journal of Big Data Privacy Management is committed to upholding the highest standards of academic integrity and ethical publishing. This policy defines plagiarism and outlines the procedures to detect, prevent, and address instances of plagiarism in manuscripts submitted to the journal.

Definition of Plagiarism:
Plagiarism includes, but is not limited to:

• Copying text, data, figures, or ideas from another source without appropriate citation or permission.

• Presenting another author’s work or ideas as one’s own.

• Reusing significant portions of one’s own previously published work without proper acknowledgment (self-plagiarism).

• Submitting the same manuscript to multiple journals simultaneously without disclosure (duplicate publication).

Detection:
All submitted manuscripts undergo plagiarism screening using recognized plagiarism detection software to ensure originality.

Responsibilities of Authors:

• Authors must ensure that their work is original and properly cites all sources.

• Any use of copyrighted material must be accompanied by permission and acknowledgment.

• Authors should disclose any prior publication or related submissions.

Actions on Plagiarism:

• Minor Overlap: Authors will be asked to revise and properly cite the affected sections before the manuscript proceeds.

• Significant Plagiarism: Manuscripts will be rejected outright. The authors’ institutions may be notified.

• Post-Publication: If plagiarism is detected after publication, the journal will issue a correction, retraction, or expression of concern as appropriate.

Ethical Compliance:
The journal adheres to the guidelines of the Committee on Publication Ethics (COPE) and expects all contributors to comply with ethical standards.

Appeals:
Authors may appeal decisions related to plagiarism by providing a written explanation and evidence to the editorial board. The board’s decision after review is final.