Publication Ethics

NiviScholar Insights maintains a high standard of academic and professional integrity. Authors, editors, and reviewers are expected to adhere to these core ethical principles.

Author Responsibilities

  • Originality: Authors must submit entirely original work. Plagiarism in any form (including self-plagiarism) is strictly prohibited.
  • Factuality: Fabricating sources, manipulating examples, or providing fake references will result in immediate rejection or retraction.
  • AI-Use Disclosure: Any usage of large language models for drafting, coding, or translating must be explicitly declared during submission.
  • Conflicts of Interest: Authors must declare any financial, commercial, or personal relationships that could influence the representation of facts.
  • Accuracy of Affiliation: Authors must state their correct current academic or professional affiliation. False representation is not permitted.
  • Permissions: Authors are responsible for permission to reuse third-party images, tables, diagrams, datasets, or substantial text excerpts.
  • Authorship: All listed authors must have contributed to the work and approved the final submission. Guest, gift, or ghost authorship is not accepted.

Plagiarism Policy

All submissions are scanned using anti-plagiarism tools. If plagiarism is detected during the screening phase, the submission is rejected immediately. If detected after publication, a retraction will be published.

Data, Images, and Claims

Authors must not fabricate datasets, laboratory results, field observations, institutional affiliations, approvals, citations, or reviewer identities. Scientific and technical claims must be traceable to the author's own work, cited sources, public datasets, or clearly labelled analysis.

Editorial Independence

Editors may reject or retract content for ethical, legal, scientific, editorial, or reputational reasons. Payment, institutional status, prior relationship, or sponsorship does not guarantee review, acceptance, publication, indexing, DOI assignment, or ISSN recognition.