Substantial Contribution
Authorship should reflect meaningful intellectual, analytical, methodological, or writing contributions.
The JR Institute intends to ensure that authorship, contribution, citation, disclosure, correction, and publication practices reflect the actual scholarly record rather than status, pressure, convenience, or institutional power.
This page presents a planned public standard. Final authorship forms, dispute procedures, publication review, correction standards, and research-integrity authorities should be established before active publishing programs expand.
A byline affects reputation, career advancement, intellectual priority, accountability, and public confidence in research.
The Institute should recognize real contributions, reject honorary and ghost authorship, disclose relevant interests, and preserve visible corrections when the record changes.
Authorship should reflect meaningful intellectual, analytical, methodological, or writing contributions.
Authors should approve the work, understand their contributions, and accept responsibility for the integrity of the record.
Describe who designed, collected, analyzed, coded, supervised, funded, and wrote.
Disclose sponsors, editors, writers, organizations, tools, and interests that shaped the work.
Cite relevant sources accurately without fabrication, coercion, padding, or deliberate omission.
Correct, withdraw, or retract flawed work without erasing the history of the record.
This policy is intended to apply to manuscripts, preprints, technical reports, conference papers, datasets, software papers, policy briefs, institutional publications, presentations, and other scholarly or technical outputs.
An author should ordinarily make a substantial contribution to the work, participate in drafting or critical revision, approve the final version, and accept responsibility for the integrity of their contribution and the publication as a whole.
Funding, seniority, title, supervision, access to facilities, or administrative authority alone should not qualify a person for authorship.
Contributions that do not meet authorship criteria should be recognized accurately through acknowledgments or structured contributor statements.
Author order should be discussed early, revisited when contributions change, and documented before submission.
Equal-contribution and senior-author designations should be used only when they reflect the actual contribution structure.
No person should use employment, funding, immigration, grading, or supervisory authority to demand authorship they did not earn.
The corresponding author should coordinate author approval, submission, disclosures, repository deposits, responses to editorial questions, corrections, and communication after publication.
This role does not give one author unilateral authority to remove contributors, suppress concerns, or change the final record without agreement.
Disputes should be addressed as early as possible through documented discussion, contribution review, mediation, or independent institutional assessment.
Review should consider actual contributions, prior agreements, drafts, laboratory records, code history, correspondence, and field norms.
Authors should not present another person’s words, ideas, data, images, code, or structure as their own.
Substantial duplicate publication, fragmented publication designed to mislead, fabricated citations, citation manipulation, and undisclosed reuse should be avoided.
Images and figures should accurately represent the underlying data and should not be altered in ways that obscure, add, remove, duplicate, or exaggerate material information.
Adjustments should be applied consistently, documented when material, and supported by retained original files.
Publications should disclose relevant funding, sponsor involvement, financial interests, institutional relationships, editorial assistance, professional writing, and other influences on the work.
Material use of generative or analytical AI should be disclosed when it affects drafting, analysis, code, images, interpretation, or the reproducibility of the work. AI systems should not be listed as authors.
Errors should be corrected promptly in proportion to their effect on the record.
Serious uncertainty may require an expression of concern, while unreliable or unethical work may require withdrawal or retraction.
Notices should identify what changed, why action was taken, who authorized it, and whether the conclusions remain reliable.
Framework date: July 2026
Inquiries may concern author order, acknowledgments, corresponding-author duties, plagiarism, citation practices, image integrity, disclosures, corrections, withdrawals, or retractions.
Identify the work, authors, disputed contribution, publication status, deadline, and available supporting information.
Contact the Institute