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MISCONDUCT MANAGEMENT IN SCHOLARLY PUBLISHING


Institutional policies: procedures and responsibilities

The management of editorial misconduct relies primarily on clear and consistent institutional policies. Universities, research centers, and publishing houses must establish precise procedures to identify, address, and sanction behaviors contrary to academic integrity. These policies define the responsibilities of different actors: researchers, publishers, evaluators, and administrators. They also specify the steps to follow when misconduct is suspected, from receiving a complaint to the final decision.

A central element is transparency. Institutions must ensure that procedures are accessible and understandable to all members of the scientific community. This involves publishing codes of conduct, practical guides, and disciplinary protocols. Clear rules help prevent misconduct and strengthen trust in the system.

Responsibility is shared. Researchers must respect the methodological and ethical standards of their discipline. Publishers have a duty to ensure publication quality and detect any anomalies. Evaluators, for their part, must exercise their role with impartiality and rigor. Finally, administrators must ensure fair and consistent management of misconduct cases.

Institutional policies often include prevention mechanisms, such as mandatory training on academic integrity or the use of plagiarism detection software. They also provide for graduated sanctions, ranging from warning to exclusion, depending on the severity of the violations.

Ultimately, institutional policies are not merely disciplinary instruments: they constitute a reference framework that preserves the credibility of research and ensures that editorial misconduct is handled with fairness, transparency, and accountability.


See also: Comparative Analysis of Institutional Policy Definitions of Plagiarism: A Pan-Canadian University Study


Editorial best practices: prevention and awareness

The prevention of editorial misconduct relies on adopting best practices that foster a culture of responsibility and transparency. Publishers and institutions must implement awareness strategies to educate researchers and students about academic integrity issues.

Among these practices, training occupies a central place. Workshops on ethical writing, source management, and the use of plagiarism detection software help prevent errors and encourage responsible behaviors. Awareness must begin at the undergraduate level and continue throughout the academic career.

Editorial transparency is also essential. Journals must publish their selection criteria, evaluation procedures, and conflict-of-interest management policies. This openness strengthens the trust of authors and readers and reduces the risks of favoritism or cronyism.

Best practices also include promoting open science, which encourages data and results sharing. This approach promotes verifiability and limits possibilities for manipulation. Moreover, interdisciplinarity and international collaboration contribute to diversifying perspectives and strengthening publication quality.

Finally, establishing independent committees responsible for handling misconduct cases ensures impartiality and fairness in the process. These committees must be composed of members from different disciplines and cultures, to reflect the diversity of the scientific community.

In sum, editorial best practices are not limited to technical rules: they embody a culture of shared responsibility, where each actor contributes to preserving the integrity and credibility of research in HSS.


See also: Best Practices for Using AI Tools as an Author, Peer Reviewer, or Editor


Detection tools: technologies and limitations

Detection tools play a crucial role in managing editorial misconduct. They enable rapid identification of cases of plagiarism, falsification, or data manipulation. Specialized software, powered by massive databases, compares submitted manuscripts with existing corpora to identify suspicious similarities.

In the case of plagiarism, these tools are particularly effective. They can detect unattributed borrowings, overly close reformulations, or truncated citations. Their use has become common in universities and publishing houses, contributing to establishing a culture of transparency.

However, these technologies have limitations. They cannot always distinguish between intentional plagiarism and poor mastery of citation standards. They can also produce false positives, flagging similarities that fall within common usage or mandatory references. Moreover, they are not always adapted to the specificities of HSS, where texts rely on interpretations and critical debates.

Detection of falsifications or data manipulations is even more complex. Software can identify statistical inconsistencies or methodological anomalies, but they do not replace human expertise. Evaluators must exercise their critical judgment to confirm or refute suspicions.

Ultimately, detection tools are valuable instruments, but they must be used with discernment. They do not replace the vigilance of researchers, publishers, and evaluators. Their effectiveness depends on their integration into a broader framework of prevention, awareness, and shared responsibility.


See also: AI in Plagiarism Detection: Accuracy and Academic Integrity


Comparative studies: international models and experiences

Comparative studies offer an enriching perspective on the management of editorial misconduct. By examining international models and experiences, it is possible to identify best practices and adapt solutions to the Canadian context.

In some European countries, national agencies directly oversee academic integrity. They centralize complaints, coordinate investigations, and publish annual reports. This model promotes national coherence and increased transparency. Conversely, other countries favor a decentralized approach, where each institution manages its own misconduct cases. This diversity reflects different academic and cultural traditions.

International experiences also demonstrate the importance of training. At several American universities, mandatory courses on academic integrity are integrated into undergraduate programs. This preventive approach reduces the risks of misconduct and fosters a culture of responsibility from the beginning of the academic career.

International cooperation is another key element. Scholarly associations and research networks collaborate to harmonize practices and share detection tools. This collaboration helps strengthen the credibility of publications and prevent misconduct in a globalized context.

Finally, comparative studies emphasize the importance of adaptation. Each country must take into account its linguistic, cultural, and institutional specificities. The Canadian model, marked by provincial diversity and bilingualism, must draw inspiration from international experiences while developing solutions adapted to its context.

Comparative studies show that the management of editorial misconduct is a universal issue, but that responses must be contextualized. They offer valuable insights for strengthening academic integrity and preserving the credibility of research in HSS.


See also: International Students and Generative Artificial Intelligence: A Cross-Cultural Exploration of HE Academic Integrity Policy