Originality & Research Attribution
O.G IJRIS is committed to protecting the originality, authenticity, and intellectual integrity of every research work submitted for academic consideration.
A Clear Standard for Original Research
Originality is a fundamental requirement of responsible academic communication. Research submitted to O.G IJRIS must represent genuine scholarly work and must properly acknowledge the ideas, words, evidence, methods, and contributions of others.
Originality does not mean that a researcher must work without reference to previous scholarship. Academic research develops through engagement with existing knowledge. The essential requirement is that previous work is accurately identified, appropriately cited, and clearly distinguished from the researcher's own contribution.
O.G IJRIS therefore evaluates originality as part of the broader process of research integrity, responsible authorship, transparent attribution, and scholarly accountability.
Core Originality Principles
The following principles guide authors, reviewers, and editorial decisions throughout the O.G IJRIS research process.
Genuine Contribution
Submitted research should contain a meaningful scholarly contribution, whether through new findings, analysis, methodology, interpretation, synthesis, or documented professional knowledge.
Accurate Attribution
Ideas, quotations, data, figures, methods, and other intellectual contributions originating from others must be appropriately acknowledged.
No Plagiarism
Presenting another person's words, ideas, structure, results, or intellectual contribution as one's own is inconsistent with the standards of O.G IJRIS.
No Duplicate Submission
A manuscript should not be simultaneously submitted to multiple publication venues when doing so creates conflicting publication commitments or misrepresents the status of the work.
Responsible Text Reuse
Reuse of previously published text or substantial portions of an earlier work must be transparent, justified where appropriate, and properly attributed.
Transparent AI Assistance
Where artificial intelligence tools materially assist research or manuscript preparation, their use must remain consistent with responsible authorship, verification, attribution, and human accountability.
Forms of Unacceptable Research Practice
Originality concerns are not limited to direct copying. Research integrity may also be compromised through misleading reuse, undisclosed duplication, or inaccurate attribution.
Plagiarism
Using another person's words, ideas, findings, structure, images, data, or intellectual contribution without appropriate acknowledgement or citation.
Mosaic or Patchwork Reuse
Combining passages or ideas from multiple sources and presenting the resulting work as original without adequate attribution or meaningful scholarly synthesis.
Duplicate or Redundant Submission
Submitting substantially the same research to more than one publication venue without transparent disclosure or appropriate editorial permission.
Undisclosed Text Reuse
Reusing substantial material from an earlier publication, thesis, report, or other work without making the relationship between the works clear.
Misrepresented Authorship
Claiming personal authorship of intellectual material substantially created by another person or concealing a contributor whose work materially shaped the research.
Fabricated Attribution
Providing inaccurate, misleading, or unverifiable references or attributing ideas, evidence, or contributions to sources that do not support the claim.
What O.G IJRIS Expects From Submitted Research
Authors are expected to review their work before submission and ensure that the manuscript accurately represents its intellectual origin and contribution.
AI-Assisted Content & Research Attribution
O.G IJRIS recognizes that artificial intelligence can support researchers as a tool for language assistance, organization, analysis, discovery, or other legitimate academic tasks.
The use of AI does not transfer scholarly responsibility from the researcher to the technology. Authors remain responsible for the accuracy, originality, integrity, citations, interpretation, and final content of their submitted work.
AI-generated or AI-assisted material must not be used to fabricate evidence, create false references, misrepresent authorship, or conceal the true origin of intellectual work.
Human Accountability
Researchers must critically review AI-assisted output before using it in academic work.
Generated information should be independently checked for accuracy, relevance, originality, and reliability.
Where disclosure of AI assistance is required by the applicable research or publication context, the author should provide clear and honest disclosure.
Shared Responsibility
Maintaining originality is a shared responsibility across the research and editorial ecosystem.
Authors
- Submit genuinely original work.
- Provide accurate citations and attribution.
- Disclose relevant previous versions.
- Review all AI-assisted content critically.
- Accept responsibility for the submitted work.
Reviewers
- Identify serious originality concerns when reasonably apparent.
- Maintain confidentiality during review.
- Avoid using unpublished research for personal benefit.
- Report concerns objectively and responsibly.
- Support evidence-based editorial decisions.
Editors
- Evaluate concerns fairly and consistently.
- Request clarification or documentation when necessary.
- Protect due process and confidentiality.
- Escalate serious integrity concerns appropriately.
- Maintain the credibility of the research record.
When an Originality Concern Arises
Concerns should be handled through a documented, proportionate, and fair process rather than through assumptions or premature conclusions.
Identify
An originality concern is identified.
Review
The available evidence is examined.
Clarify
Relevant explanations or documentation may be requested.
Assess
The concern is evaluated proportionately.
Decide
Appropriate editorial action is determined.
Protecting the Integrity of the Research Record
O.G IJRIS seeks to create an academic environment in which originality is respected, previous scholarship is properly acknowledged, researchers are treated fairly, and published knowledge can be trusted. Originality is therefore understood not merely as a similarity score, but as a broader commitment to honest intellectual contribution and transparent academic practice.