Editorial Policies
At Global Journals®, our Editorial Policies define the standards, principles, and ethical expectations guiding manuscript evaluation, peer review, publication decisions, and post-publication oversight. Together they ensure consistency, transparency, trust, and fairness across all our journals.
Below is a more complete layout of our policies, including both general norms and specialized rules on key topics.
Foundational Editorial Principles
- Integrity of the Scholarly Record
- We consider published articles as part of the permanent “minutes of science.” Our duty is to maintain accuracy, correct errors, and preserve trust in the academic record.
- Editorial Independence
- Editors must decide based on scientific merit, relevance, and quality, uninfluenced by commercial, institutional, or personal interests.
- Fairness & Non-Discrimination
- All manuscripts are considered based on their intellectual value, without regard to authors’ nationality, affiliation, gender, or reputation.
- Conflict of Interest & Disclosure
- Authors, editors, and reviewers must disclose any relationships (financial, professional, personal) that could bias their contributions. Those with conflicts must recuse or be excluded from relevant decisions.
- Confidentiality
- Manuscripts, peer reviews, editorial communications, and decision processes are treated as confidential. Disclosure is limited to essential editorial or ethical investigations.
Specialized Editorial Policies
- AI / Automated Tools Usage
- Authors may use AI or AI-assisted systems only to improve readability, grammar, formatting, or clarity, not to generate substantive content, arguments, data, or novel interpretation.
- Use of any generative tool must be disclosed in the manuscript (e.g. which tool, version, how it was used). This is consistent with publisher norms requiring transparency.
- AI tools cannot be credited as authors. Human authors maintain full responsibility for the accuracy, coherence, integrity, and validity of the work.
- Editors and reviewers should not upload unapproved drafts or data to external AI platforms unless those platforms guarantee confidentiality and privacy under terms consistent with this policy.
- Contribution & Authorship Structure
- To qualify as an author, one must contribute substantially in areas such as conception, data design, analysis, drafting or critical revision, and approve the final manuscript.
- Contributors who provide technical support, editorial help, or supervision without intellectual input should be named in Acknowledgments, not listed as authors.
- Any changes to authorship (addition, removal, reordering) post-submission must be justified in writing and agreed by all authors before the change is accepted.
- Respectful Discourse & Communication
- All communication among editors, authors, and reviewers must remain professional, constructive, and respectful.
- Reviews should engage with the content and scientific arguments, not personal attributes or affiliations.
- Harassment, discrimination, or language that undermines dignity or professional courtesy is unacceptable at any stage.
- Human Participants & Ethical Consent
- For studies involving human subjects, authors must include statements confirming informed consent, ethical approval (IRB or equivalent), and protocols to ensure participant confidentiality and anonymity.
- Identifiable personal data must not be published without explicit participant permission.
- If synthetic or anonymized data are used, authors must explain the method, purpose, and limitations.
- Promoting Diversity, Equity & Inclusion
- We strive for inclusive editorial boards, reviewer pools, and author outreach that reflect geographic, institutional, gender, and career stage diversity.
- Decision-making must not be biased by an author’s origin, prestige, or network, only by scientific merit.
- We encourage editors to select diverse reviewers and rotate reviewer invitations to avoid echo chambers or concentration of influence.
- Role & Duties of the Corresponding Author
- The corresponding author is the liaison between the editorial office and co-authors and is responsible for
- Confirming all authors approve the final version
- Ensuring integrity and completeness of disclosures, data statements, ethics approvals, and contributions
- Handling revisions, proofs, and responding to queries
- Safeguarding that all required documents (data, ethics, permissions) are properly submitted
- Corrections, Retractions & Expressions of Concern
- The corresponding author is the liaison between the editorial office and co-authors and is responsible for
- If errors, misconduct, or serious doubts emerge post-publication, the editor may issue corrections, expressions of concern, or retractions.
- Notices should clearly explain the reason, be permanently linked to the original article, and preserve transparency of the scholarly record.
- Appeals & Editorial Accountability
- The corresponding author is the liaison between the editorial office and co-authors and is responsible for
- Authors may appeal editorial decisions under defined conditions (for example, if procedural fairness is questioned).
- Editors must document decision rationales and be prepared to respond to appeals consistently and transparently.
- We encourage public disclosure of editorial policies, decision criteria, and performance metrics to maintain accountability.
- Peer Review Standards & Conduct
- Reviewers should be subject-matter experts with no conflicts of interest, providing unbiased, fair, timely, and constructive feedback.
- If review recommendations differ strongly, the editor may commission additional reviews or mediate.
- Reviewers must maintain confidentiality and never reuse or disclose manuscript content or data.
- AI tools may be used by reviewers only if confidentiality, privacy, and data protections meet the standards set by this policy.
- Protection of Personal Data & Privacy
- Names, emails, affiliations, and other personal data provided through the submission system are used solely for editorial and administrative purposes.
- We store personal data securely, follow applicable data protection laws, and delete or anonymize data when no longer needed.
- Users have rights to request correction, deletion, or suppression of personal data within legal constraints.
- Plagiarism, Overlap & Originality
- Every manuscript is screened using similarity detection tools. Overlap reports are assessed in context; high similarity does not always imply misconduct.
- Unacceptable copying of text, data, figures, or ideas, without proper attribution is cause for rejection or retraction.
- Self-plagiarism (reusing one’s own work without citation or disclosure) is disallowed.
- Usage of Third-Party Material
- All third-party figures, tables, images, or data must be used with appropriate permissions or under licensing.
- Authors must provide evidence of permission or licensing, and clearly indicate the source.
- In cases of restricted reuse, authors should seek alternatives or rework the material.