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Original Articles
Standards, ethics, and digital systems in Indonesian scientific journal governance: a thematic analysis of policy documents
Irwansyah
Sci Ed. 2026;13(1):36-45.   Published online February 2, 2026
DOI: https://doi.org/10.6087/kcse.394
  • 137 View
  • 12 Download
AbstractAbstract PDF
Purpose
This study aimed to analyze how government policies shape the governance of scientific journals in Indonesia through regulatory frameworks, quality assurance instruments, publication ethics, and digital systems that structure national journal management.
Methods
A thematic analysis was employed to examine policy documents, including laws and regulations, administrative policies, ethical codes, and operational guidelines governing scientific journals. Documents were systematically analyzed using a coding process to identify regulatory objectives, governance mechanisms, quality assurance instruments, publication ethics arrangements, and modes of policy implementation through digital systems.
Results
Scientific journals in Indonesia have been institutionalized as instruments of public governance rather than solely as platforms for academic communication. Journal governance is characterized by standardized accreditation, performance-based evaluation, integrated quality assurance, and administratively enforced publication ethics. Digital systems play a central role in translating regulatory standards into routine, data-driven practices, thereby enabling continuous monitoring, verification, and auditability.
Conclusion
Government policies have strengthened accountability, transparency, and systemic integration in Indonesian scientific publishing. At the same time, the consolidation of standards-based governance and digital oversight presents challenges in maintaining an appropriate balance between administrative compliance and the substantive epistemic quality of scientific publications.
Trends in publications on scientific misconduct from 2000 to 2024: a Scopus-based bibliometric study
Jesús Enrique Quezada Castro, María del Pilar Quezada Castro
Sci Ed. 2026;13(1):14-21.   Published online January 29, 2026
DOI: https://doi.org/10.6087/kcse.389
  • 55 View
  • 8 Download
AbstractAbstract PDF
Purpose
Scientific research is intended to be a transparent and reproducible process. However, scientific misconduct distorts reality and presents fraudulent findings as truth. This bibliometric study aimed to map trends in scientific output and to identify the leading authors, journals, keywords, and documents addressing scientific misconduct between 2000 and 2024.
Methods
Scientific production indexed in the Scopus database was analyzed. After applying inclusion and exclusion criteria, a total of 3,536 documents were selected. The data were processed using Biblioshiny and Microsoft Excel.
Results
The annual growth rate of publications on scientific misconduct was estimated at 5.33%, with 2024 recording the highest number of indexed documents in Scopus. Collaboration networks were led by the United States, the United Kingdom, and China. The most frequently used keywords were research integrity and scientific misconduct. Retraction was identified as a key control mechanism adopted by journals to uphold research ethics.
Conclusion
Over the past 4 years, scientific output on scientific misconduct has increased, with Q1 Scopus journals playing a central role in establishing international standards for detecting and eliminating research fraud.
Training Material
The current state of ethics in relation to patents
Seryeong Kim, Jeong-Ju Yoo
Sci Ed. 2025;12(2):225-230.   Published online August 5, 2025
DOI: https://doi.org/10.6087/kcse.376
  • 1,282 View
  • 36 Download
AbstractAbstract PDF
Patents are intended to incentivize innovation by granting inventors exclusive rights; however, in the biomedical sciences, they frequently intersect with ethical dilemmas involving public access, potential harms, and distributive justice. Legal frameworks, such as those in Korea and international treaties, prohibit patents on inventions that violate public health or morality. Nevertheless, identifying ethical risks at the application stage remains challenging. High-profile controversies, such as gene patenting (e.g., BRCA1/2 and CRISPR-Cas9) and embryonic stem cell patents, highlight divergent national standards and ongoing debates regarding the public domain status of genetic information and the permissibility of inventions derived from embryonic research. Mechanisms like compulsory licensing, exemplified during the COVID-19 pandemic, attempt to balance exclusive rights with urgent public needs, but these approaches have limitations. Despite the increasing importance of these concerns, internationally unified ethical guidelines for researchers, journal editors, and policymakers are lacking. We recommend the development of clearer ethical standards and practical frameworks to help stakeholders address the moral complexities of biomedical patents and to support responsible innovation and equitable access to life-saving technologies.
Original Article
Amount, cause, and citation frequency of retracted nursing publications from 1997 to 2024 in PubMed: a bibliometric study
Marlen Yessirkepov, Zhanat Togaibekova, Burhan Fatih Kocyigit, Ahmet Akyol
Sci Ed. 2025;12(2):109-113.   Published online April 30, 2025
DOI: https://doi.org/10.6087/kcse.368
  • 2,657 View
  • 107 Download
AbstractAbstract PDFSupplementary Material
Purpose
Retraction provides an opportunity to correct the literature by restricting the spread of incomplete, erroneous, or biased information among the scientific community. This study aimed to delineate the features of retracted publications in the nursing field.
Methods
This literature investigation identified all retracted nursing papers in PubMed. It included information on each paper’s title, authors, publication date, retraction date, journal, article category, corresponding author’s nationality, and rationale for retraction. Citation statistics were acquired from Scopus.
Results
After excluding publications not relevant to the field, 457 papers remained for further analysis from an initial pool of 866. The earliest retracted article appeared in 2007 (n=3), with the peak occurring in 2023 (n=359). The three predominant countries were China (n=398), the United States (n=9), and Iran (n=7). The primary grounds for retraction were peer review issues (n=395), fraud (n=353), and ethical concerns (n=130). The retracted publications accumulated a total of 1,659 citations, averaging 3.63 per article, with 909 citations (1.99 per article) recorded after retraction.
Conclusion
This study highlights that retractions of nursing-related publications are frequently linked to peer review challenges, fraud, and ethical concerns. A disproportionate number of retracted articles originated from China. Comprehensive peer review, ethical oversight, and fraud prevention are needed to preserve the integrity of nursing research.
Reviews
Research ethics and issues regarding the use of ChatGPT-like artificial intelligence platforms by authors and reviewers: a narrative review
Sang-Jun Kim
Sci Ed. 2024;11(2):96-106.   Published online August 20, 2024
DOI: https://doi.org/10.6087/kcse.343
  • 33,009 View
  • 1,399 Download
  • 22 Web of Science
  • 21 Crossref
AbstractAbstract PDF
While generative artificial intelligence (AI) technology has become increasingly competitive since OpenAI introduced ChatGPT, its widespread use poses significant ethical challenges in research. Excessive reliance on tools like ChatGPT may intensify ethical concerns in scholarly articles. Therefore, this article aims to provide a comprehensive narrative review of the ethical issues associated with using AI in academic writing and to inform researchers of current trends. Our methodology involved a detailed examination of literature on ChatGPT and related research trends. We conducted searches in major databases to identify additional relevant articles and cited literature, from which we collected and analyzed papers. We identified major issues from the literature, categorized into problems faced by authors using nonacademic AI platforms in writing and challenges related to the detection and acceptance of AI-generated content by reviewers and editors. We explored eight specific ethical problems highlighted by authors and reviewers and conducted a thorough review of five key topics in research ethics. Given that nonacademic AI platforms like ChatGPT often do not disclose their training data sources, there is a substantial risk of unattributed content and plagiarism. Therefore, researchers must verify the accuracy and authenticity of AI-generated content before incorporating it into their article, ensuring adherence to principles of research integrity and ethics, including avoidance of fabrication, falsification, and plagiarism.

Citations

Citations to this article as recorded by  
  • Understanding haze data contestations in Singapore: between accuracy and affect
    Nurul Amillin Hussain
    Environmental Sociology.2026; 12(1): 126.     CrossRef
  • Generative AI in academia: Efficiency versus scholarship
    Daniela Schnitzler
    The Journal of Physiology.2026; 604(1): 31.     CrossRef
  • A Cross‐Disciplinary Analysis of AI Policies in Academic Peer Review
    Zhongshi Wang, Mengyue Gong
    Learned Publishing.2026;[Epub]     CrossRef
  • AI detecting AI in academic writing: Why most AI detector findings are false
    Panagiotis Tsigaris, Jaime A. Teixeira da Silva
    Next Research.2026; : 101396.     CrossRef
  • Human-AI collaboration in vocational writing: Building a framework for adaptive English learning
    Şükran Türkmen Çiçek, Dilek Tüfekci Can
    Journal of Educational Technology and Online Learning.2026; 9(1): 45.     CrossRef
  • Generative artificial intelligence tools in journal article preparation: A preliminary catalog of ethical considerations, opportunities, and pitfalls
    Robin R. White
    JDS Communications.2025; 6(3): 452.     CrossRef
  • Ethics For Responsible Data Research: Integrating Cybersecurity Perspectives In Digital Era
    Sheetal Temara
    SSRN Electronic Journal.2025;[Epub]     CrossRef
  • Ethical guidelines for the use of generative artificial intelligence and artificial intelligence-assisted tools in scholarly publishing: a thematic analysis
    Adéle da Veiga
    Science Editing.2025; 12(1): 28.     CrossRef
  • Artificial intelligence-assisted academic writing: recommendations for ethical use
    Adam Cheng, Aaron Calhoun, Gabriel Reedy
    Advances in Simulation.2025;[Epub]     CrossRef
  • Exploring AI Hallucinations of ChatGPT
    Adam Cheng, Vikhashni Nagesh, Susan Eller, Vincent Grant, Yiqun Lin
    Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare.2025; 20(6): 413.     CrossRef
  • Research trends and comparisons of major generative artificial intelligence platforms for systematic literature reviews
    Sang-Jun Kim
    Science Editing.2025; 12(2): 200.     CrossRef
  • Are Teachers Assessing Work Written by Students or by AI? A Rapid Literature Review of Research on Detecting Content Generated by Generative AI
    Jining Han, Yuying Yang, Geping Liu
    European Journal of Education.2025;[Epub]     CrossRef
  • Applications of artificial intelligence in healthcare simulation: a model of thinking
    Adam Cheng, Carolyn McGregor
    Advances in Simulation.2025;[Epub]     CrossRef
  • ¿Cómo está transformando la inteligencia artificial la comunicación científica? Desafíos, oportunidades y el papel de los actores involucrados: una revisión de alcance
    Jairo Buitrago-Ciro, Estela Morales Campos, César Leonardo Villamizar Romero
    Investigación Bibliotecológica: archivonomía, bibliotecología e información.2025; 39(104): 111.     CrossRef
  • ChatGPT: how to use it and the pitfalls/cautions in academia
    Jeong-Moo Lee
    Annals of Pediatric Endocrinology & Metabolism.2025; 30(5): 229.     CrossRef
  • Initial Validation of the IMPACT Model: Technological Appropriation of ChatGPT by University Faculty
    Luz-M. Pereira-González, Andrea Basantes-Andrade, Miguel Naranjo-Toro, Mailevy Guia-Pereira
    Education Sciences.2025; 15(11): 1520.     CrossRef
  • The Epistemic Downside of Using LLM-Based Generative AI in Academic Writing
    Bor Luen Tang
    Publications.2025; 13(4): 63.     CrossRef
  • Ethical Considerations for the Use of Artificial Intelligence in Linguistics Journal Publishing: Combining Hybrid Thematic Analysis and Critical Discourse Analysis
    Xuan Wang, Xinyi Zhang
    Publications.2025; 13(4): 61.     CrossRef
  • Ethical Implications of Using Artificial Intelligence in Intellectual Property Creation: Authorship, Ownership and Responsibility Issues
    K. Afuwape
    Journal of Digital Technologies and Law.2025; 3(4): 677.     CrossRef
  • How is ChatGPT acknowledged in academic publications?
    Kayvan Kousha
    Scientometrics.2024; 129(12): 7959.     CrossRef
  • Appliances of Generative AI-Powered Language Tools in Academic Writing: A Scoping Review
    Lilia Raitskaya, Elena Tikhonova
    Journal of Language and Education.2024; 10(4): 5.     CrossRef
Influence of artificial intelligence and chatbots on research integrity and publication ethics
Payam Hosseinzadeh Kasani, Kee Hyun Cho, Jae-Won Jang, Cheol-Heui Yun
Sci Ed. 2024;11(1):12-25.   Published online January 25, 2024
DOI: https://doi.org/10.6087/kcse.323
  • 16,224 View
  • 523 Download
  • 13 Web of Science
  • 12 Crossref
AbstractAbstract PDF
Artificial intelligence (AI)-powered chatbots are rapidly supplanting human-derived scholarly work in the fast-paced digital age. This necessitates a re-evaluation of our traditional research and publication ethics, which is the focus of this article. We explore the ethical issues that arise when AI chatbots are employed in research and publication. We critically examine the attribution of academic work, strategies for preventing plagiarism, the trustworthiness of AI-generated content, and the integration of empathy into these systems. Current approaches to ethical education, in our opinion, fall short of appropriately addressing these problems. We propose comprehensive initiatives to tackle these emerging ethical concerns. This review also examines the limitations of current chatbot detectors, underscoring the necessity for more sophisticated technology to safeguard academic integrity. The incorporation of AI and chatbots into the research environment is set to transform the way we approach scholarly inquiries. However, our study emphasizes the importance of employing these tools ethically within research and academia. As we move forward, it is of the utmost importance to concentrate on creating robust, flexible strategies and establishing comprehensive regulations that effectively align these potential technological developments with stringent ethical standards. We believe that this is an essential measure to ensure that the advancement of AI chatbots significantly augments the value of scholarly research activities, including publications, rather than introducing potential ethical quandaries.

Citations

Citations to this article as recorded by  
  • The Future of Publication Ethics in University Research Systems: What Scenarios Exist for Publication Ethics?
    Sara Dakhesh, Shahnaz Khademizadeh, Abdolhossein Farajpahlou, Hamid Farhadirad
    Public Integrity.2026; : 1.     CrossRef
  • Uso ético y eficiente de la inteligencia artificial en trabajos académicos: Veritas e interacción crítica escalonada
    Lluís Codina
    BiD: textos universitaris de biblioteconomia i documentació.2026;[Epub]     CrossRef
  • Exploring the Impact of Artificial Intelligence on Research Ethics - A Systematic Review
    Gabriel Andrade-Hidalgo, Pedro Mio-Cango, Orlando Iparraguirre-Villanueva
    Journal of Academic Ethics.2025; 23(3): 1053.     CrossRef
  • Meeting report on the 8th Asian Science Editors’ Conference and Workshop 2024
    Eun Jung Park
    Science Editing.2025; 12(1): 66.     CrossRef
  • Research and publication ethics with generative artificial intelligence-assisted tools
    Cheol-Heui Yun
    Science Editing.2025; 12(1): 1.     CrossRef
  • The assisted Technology dilemma: a reflection on AI chatbots use and risks while reshaping the peer review process in scientific research
    Helmi Ben Saad, Ismail Dergaa, Hatem Ghouili, Halil İbrahim Ceylan, Karim Chamari, Wissem Dhahbi
    AI & SOCIETY.2025; 40(7): 5649.     CrossRef
  • Plagiarism in the system of academic integrity in medical research (part 2)
    M.V. Krasnoselskyi, N.O. Artamonova, О.М. Sukhina, T.V. Rublova, Yu.V. Pavlichenko
    Український радіологічний та онкологічний журнал.2025; 33(1): 113.     CrossRef
  • Prompt engineering for generative artificial intelligence chatbots in health research: A practical guide for traditional, complementary, and integrative medicine researchers
    Jeremy Y. Ng
    Integrative Medicine Research.2025; 14(4): 101222.     CrossRef
  • Adapt or Lag Behind: Why Researchers in Traditional, Complementary, and Integrative Medicine Must Master Prompt Engineering in the Era of Artificial Intelligence
    Jeremy Y. Ng
    Perspectives on Integrative Medicine.2025; 4(3): 127.     CrossRef
  • Regaining Scientific Authority in a Post-Truth Landscape
    Andrew M. Petzold, Marcia D. Nichols
    Publications.2025; 13(4): 65.     CrossRef
  • Generative AI, Research Ethics, and Higher Education Research: Insights from a Scientometric Analysis
    Saba Mansoor Qadhi, Ahmed Alduais, Youmen Chaaban, Majeda Khraisheh
    Information.2024; 15(6): 325.     CrossRef
  • Publication Ethics in the Era of Artificial Intelligence
    Zafer Kocak
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
Original Article
Current status and demand for educational activities on publication ethics by academic organizations in Korea: a descriptive study
Yera Hur, Cheol-Heui Yun
Sci Ed. 2023;10(1):64-70.   Published online February 16, 2023
DOI: https://doi.org/10.6087/kcse.298
  • 5,591 View
  • 240 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study aimed to examine the following overarching issues: the current status of research and publication ethics training conducted in Korean academic organizations and what needs to be done to reinforce research and publication ethics training.
Methods
A survey with 12 items was examined in a pilot survey, followed by a main survey that was distributed to 2,487 academic organizations. A second survey, which contained six additional questions, was dispatched to the same subjects. The results of each survey were analyzed by descriptive statistical analysis, content analysis, and comparative analysis.
Results
More than half of the academic organizations provided research and publication ethics training programs, with humanities and social sciences organizations giving more training than the others (χ2=11.190, df=2, P=0.004). The results showed that research and publication ethics training was held mostly once and less than an hour per year, mainly in a lecture format. No significant difference was found in the training content among academic fields. The academic organizations preferred case-based discussion training methods and wanted expert instructors who could give tailored training with examples.
Conclusion
A systematic training program that can develop ethics instructors tailored to specific academic fields and financial support from academic organizations can help scholarly editors resolve the apparent gap between the real and the ideal in ethics training, and ultimately to achieve the competency needed to train their own experts.

Citations

Citations to this article as recorded by  
  • Influence of artificial intelligence and chatbots on research integrity and publication ethics
    Payam Hosseinzadeh Kasani, Kee Hyun Cho, Jae-Won Jang, Cheol-Heui Yun
    Science Editing.2024; 11(1): 12.     CrossRef
Review
Can an artificial intelligence chatbot be the author of a scholarly article?
Ju Yoen Lee
Sci Ed. 2023;10(1):7-12.   Published online February 16, 2023
DOI: https://doi.org/10.6087/kcse.292
  • 12,336 View
  • 521 Download
  • 10 Web of Science
  • 18 Crossref
AbstractAbstract PDF
At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out to be very capable, but also capable of deception, and the news broke that several researchers had listed the chatbot (including its earlier version) as co-authors of their academic papers. In response, Nature and Science expressed their position that this chatbot cannot be listed as an author in the papers they publish. Since an AI chatbot is not a human being, in the current legal system, the text automatically generated by an AI chatbot cannot be a copyrighted work; thus, an AI chatbot cannot be an author of a copyrighted work. Current AI chatbots such as ChatGPT are much more advanced than search engines in that they produce original text, but they still remain at the level of a search engine in that they cannot take responsibility for their writing. For this reason, they also cannot be authors from the perspective of research ethics.

Citations

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  • Locating the Ethics of ChatGPT—Ethical Issues as Affordances in AI Ecosystems
    Bernd Carsten Stahl
    Information.2025; 16(2): 104.     CrossRef
  • Interpreting text corpora from androids-related stories using large language models: “Machines like me” by Ian McEwan in generative AI
    Simona-Vasilica Oprea, Adela Bâra
    Humanities and Social Sciences Communications.2025;[Epub]     CrossRef
  • And Plato met ChatGPT: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences
    Reyes Calderon, Francisco Herrera
    Humanities and Social Sciences Communications.2025;[Epub]     CrossRef
  • Responses to the Initial Hype: ChatGPT Supporting Teaching, Learning, and Scholarship?
    Berrin Cefa, Felicitas Macgilchrist, Hebatullah ElGamal, John Y. H. Bai, Olaf Zawacki-Richter, Frank S. Loglo
    Open Praxis.2025; 17(2): 227.     CrossRef
  • How appropriately can generative artificial intelligence platforms, including GPT-4, Gemini, Bing, and Wrtn, answer questions about colon cancer in the Korean language?
    Sun Huh
    Annals of Coloproctology.2025; 41(3): 190.     CrossRef
  • A Study of Academics’ Perceptions of Ethical Implications of Generative Artificial Intelligence on Scientific Research and Publishing
    Perihan Elif Ekmekci, Banu Buruk, Başak Akar, Nazife Yasemin Ardıçoğlu Akışın
    Journal of Empirical Research on Human Research Ethics.2025; 20(4): 190.     CrossRef
  • AI-Assisted Works: Copyrightability in the United States, China, and the EU, and Implications for Academic Integrity
    Mariusz Krzysztofek
    Review of European and Comparative Law.2025;[Epub]     CrossRef
  • ChatGPT: More Than a “Weapon of Mass Deception” Ethical Challenges and Responses from the Human-Centered Artificial Intelligence (HCAI) Perspective
    Alejo José G. Sison, Marco Tulio Daza, Roberto Gozalo-Brizuela, Eduardo C. Garrido-Merchán
    International Journal of Human–Computer Interaction.2024; 40(17): 4853.     CrossRef
  • The ethics of ChatGPT – Exploring the ethical issues of an emerging technology
    Bernd Carsten Stahl, Damian Eke
    International Journal of Information Management.2024; 74: 102700.     CrossRef
  • ChatGPT in healthcare: A taxonomy and systematic review
    Jianning Li, Amin Dada, Behrus Puladi, Jens Kleesiek, Jan Egger
    Computer Methods and Programs in Biomedicine.2024; 245: 108013.     CrossRef
  • “Brave New World” or not?: A mixed-methods study of the relationship between second language writing learners’ perceptions of ChatGPT, behaviors of using ChatGPT, and writing proficiency
    Li Dong
    Current Psychology.2024; 43(21): 19481.     CrossRef
  • Evaluating the Influence of Artificial Intelligence on Scholarly Research: A Study Focused on Academics
    Tosin Ekundayo, Zafarullah Khan, Sabiha Nuzhat, Tze Wei Liew
    Human Behavior and Emerging Technologies.2024;[Epub]     CrossRef
  • Interaction with Artificial Intelligence as a Potential of Foreign Language Teaching Program in Graduate School
    T. V. Potemkina, Yu. A. Avdeeva, U. Yu. Ivanova
    Vysshee Obrazovanie v Rossii = Higher Education in Russia.2024; 33(5): 67.     CrossRef
  • Did ChatGPT ask or agree to be a (co)author? ChatGPT authorship reflects the wider problem of inappropriate authorship practices
    Bor Luen Tang
    Science Editing.2024; 11(2): 93.     CrossRef
  • Emergence of the metaverse and ChatGPT in journal publishing after the COVID-19 pandemic
    Sun Huh
    Science Editing.2023; 10(1): 1.     CrossRef
  • ChatGPT: Systematic Review, Applications, and Agenda for Multidisciplinary Research
    Harjit Singh, Avneet Singh
    Journal of Chinese Economic and Business Studies.2023; 21(2): 193.     CrossRef
  • Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer
    Casey Watters, Michal K. Lemanski
    Frontiers in Big Data.2023;[Epub]     CrossRef
  • ChatGPT, yabancı dil öğrencisinin güvenilir yapay zekâ sohbet arkadaşı mıdır?
    Şule ÇINAR YAĞCI, Tugba AYDIN YILDIZ
    RumeliDE Dil ve Edebiyat Araştırmaları Dergisi.2023; (37): 1315.     CrossRef
Case Studys
Consultation questions on publication ethics from 2016 to 2020 addressed by the Committee on Publication Ethics of the Korean Council of Science Editors
Woo Jin Son, Cheol-Heui Yun
Sci Ed. 2021;8(1):112-116.   Published online February 20, 2021
DOI: https://doi.org/10.6087/kcse.238
  • 7,211 View
  • 95 Download
  • 1 Crossref
AbstractAbstract PDF
With the goal of improving the publishing ecosystem and promoting transparency in journal publishing, we describe some recent cases in scientific publishing in Korea. The current article summarizes ethical inquiries from domestic journals and publishers, most of whom are members of the Korean Council of Science Editors. We selected 15 representative questions asked during the last 4 years. Those inquiries were classified into hot topics such as plagiarism, duplicate publications, multiple submission, and others (informed consent, copyright, compliance with journal regulations, authors’ responsibilities, and voluntary retraction requests). When plagiarism is suspected, editors and reviewers should assess the situation following the relevant rules and procedures, and if necessary, the manuscript should be rejected. Cases of duplicate publication should be clearly stated in both papers based on the explicit agreement of the editor-in-chief of both journals. As a general rule, the entire content of an article should be published in one issue, but if the article is too long, it may need to be published in two issues. Permission from both journals is required. The abstract and references should be separated accordingly. In cases of copyright conflict, voluntary withdrawal of a paper, or non-compliance with publishing regulations, the manuscript must be withdrawn according to specific procedures (referring to the COPE flow chart). All correspondence regarding a manuscript should be with the corresponding author, who communicates directly with the journal. We hope that these recommendations will help readers in the field of scientific publishing to address issues related to publication ethics.

Citations

Citations to this article as recorded by  
  • Congratulations on Child Health Nursing Research becoming a PubMed Central journal and reflections on its significance
    Sun Huh
    Child Health Nursing Research.2022; 28(1): 1.     CrossRef
Korean court cases regarding research and publication ethics from 2009 to 2020
Ju Yoen Lee
Sci Ed. 2021;8(1):98-103.   Published online February 20, 2021
DOI: https://doi.org/10.6087/kcse.236
  • 10,102 View
  • 189 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Research and publication misconduct may occur in various forms, including author misrepresentation, plagiarism, and data fabrication. Research and publication ethics are essentially not legal duties, but ethical obligations. In reality, however, legal disputes arise over whether research and publication ethics have been violated. Thus, in many cases, misconduct in research and publication is determined in the courts. This article presents noteworthy legal cases in Korea regarding research and publication ethics to help editors and authors prevent ethical misconduct. Legal cases from 2009 to 2020 were collected from the database of the Supreme Court of Korea in December 2020. These court cases represent three case types: 1) civil cases, such as affirmation of nullity of dismissal and damages; 2) criminal cases, such as fraud, interference with business, and violations of copyright law; and 3) administrative cases related to disciplinary measures against professors affiliated with a university. These cases show that although research and publication ethics are ethical norms that are autonomously established by the relevant academic societies, they become a criterion for case resolution in legal disputes where research and publication misconduct is at issue.

Citations

Citations to this article as recorded by  
  • Scientific Misconduct in the Era of Artificial Intelligence: Insights From the Global South
    Md Sozon, Ceceilia Parnther
    Higher Education Quarterly.2026;[Epub]     CrossRef
  • Congratulations on Child Health Nursing Research becoming a PubMed Central journal and reflections on its significance
    Sun Huh
    Child Health Nursing Research.2022; 28(1): 1.     CrossRef
Analysis of consultations by the Committee for Publication Ethics of the Korean Association of Medical Journal Editors
You Sun Kim, Dong Soo Han
Sci Ed. 2020;7(2):184-188.   Published online August 20, 2020
DOI: https://doi.org/10.6087/kcse.215
  • 8,093 View
  • 123 Download
  • 5 Web of Science
  • 4 Crossref
AbstractAbstract PDF
This study aimed to analyze the inquiries on research and publication ethics submitted to the Committee for Publication Ethics of the Korean Association of Medical Journal Editors. A total of 80 inquiries were initiated over the course of 3 years, from April 2017 to March 2020. Based on a categorization of these inquiries, four common topics are discussed in detail. We present specific cases derived from actual situations, and the steps taken in processing these inquiries. The number of inquiries by topic was as follows: duplicate publications (12), secondary publications (11), authorship disputes (11), informed consent (6), proceedings (5), copyright (5), institutional review board approval (5), plagiarism (4), corrections (4), and others (17). Cases of duplicate publication and authorship disputes can be treated according to the flow chart of the Committee on Publication Ethics of the United Kingdom. Secondary publications may be permitted if the readers or audiences are different and both journals’ editors grant permission. Editors should be cautious about publishing cases without informed consent, even in the absence of identifiable photos, because patients or their families may be able to identify the cases. An adequate awareness of ethical considerations relevant to publication can help reduce the number of instances of research and publication ethics misconduct.

Citations

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  • Recent Trends in Machine and Deep Learning for Verbal and Non-verbal Emotion Detection
    Muskan Chawla, Surya Narayan Panda, Vikas Khullar, Isha Kansal, Rajeev Kumar
    Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering).2025;[Epub]     CrossRef
  • Ethics Committees: Structure, Roles, and Issues
    Pankti Mehta, Olena Zimba, Armen Yuri Gasparyan, Birzhan Seiil, Marlen Yessirkepov
    Journal of Korean Medical Science.2023;[Epub]     CrossRef
  • Analysis of duplicated publications in Russian journals
    Yury V. Chekhovich, Andrey V. Khazov
    Journal of Informetrics.2022; 16(1): 101246.     CrossRef
  • Consultation questions on publication ethics from 2016 to 2020 addressed by the Committee on Publication Ethics of the Korean Council of Science Editors
    Woo Jin Son, Cheol-Heui Yun
    Science Editing.2021; 8(1): 112.     CrossRef
Original Articles
Compliance of “Principles of transparency and best practice in scholarly publishing” in Korean academic society-published journals listed in Journal Citation Reports
Ye Jin Choi, Hyung Wook Choi, Soon Kim
Sci Ed. 2020;7(1):24-33.   Published online February 20, 2020
DOI: https://doi.org/10.6087/kcse.186
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  • 153 Download
  • 9 Web of Science
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AbstractAbstract PDF
Purpose
The “Principles of transparency and best practice in scholarly publishing” are of increasing importance in an open science environment as a way to increase the transparency and quality of academic society journals. However, little previous research has investigated the application of this new guideline in practice. The aim of this study was to investigate the degree to which this guideline is being applied by Korean academic society– published journals listed in Journal Citation Reports.
Methods
The researchers investigated the homepages of 59 Korean academic society– published journals to evaluate whether they had adopted the 33 items listed in the guideline. Based on the information available on the journals’ homepages, each item was classified as ‘yes’ or ‘no’ within the four categories of basic journal information, publication ethics, copyright and archiving information, and profit model.
Results
The basic journal information category was generally well-practiced, with the exceptions of the peer review process, readership, and author fees. The copyright and licensing information category was also well-practiced, with the exception of policies on posting accepted articles with third parties and archiving items. However, most items in the publication ethics category were not well practiced, with the exception of authorship and intellectual property. All items in the profit model category were infrequently implemented.
Conclusion
These findings serve as a good indicator for Korean journal editors of areas for improvement. It may be helpful to review journals’ publication policies and homepages to comply with international publishing standards.

Citations

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    М. А. Косычева
    Научный редактор и издатель.2025; 9(2): 179.     CrossRef
  • Conformity with Publication Ethics Guidelines among Nigerian Medical Journals
    Adaora A Onyiaorah, Euzebus C Ezugwu
    Journal of Empirical Research on Human Research Ethics.2025; 20(4): 250.     CrossRef
  • The COPE / DOAJ / OASPA / WAME Principles of Transparency and Best Practice in Scholarly Publishing: A Critical Analysis
    Jaime A. Teixeira da Silva, Salim Moussa
    ETHICS IN PROGRESS.2024; 15(1): 130.     CrossRef
  • The Application of Open Science Potentials in Research Processes: A Comprehensive Literature Review
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    Libri.2023; 73(2): 167.     CrossRef
  • Promotion to Top-Tier Journal and Development Strategy of the Annals of Laboratory Medicine for Strengthening its Leadership in the Medical Laboratory Technology Category: A Bibliometric Study
    Sun Huh
    Annals of Laboratory Medicine.2022; 42(3): 321.     CrossRef
  • Congratulations on Child Health Nursing Research becoming a PubMed Central journal and reflections on its significance
    Sun Huh
    Child Health Nursing Research.2022; 28(1): 1.     CrossRef
  • Marking the inclusion of the Korean Journal of Women Health Nursing in PubMed Central and strategies to be promoted to a top-tier journal in the nursing category
    Sun Huh
    Korean Journal of Women Health Nursing.2022; 28(3): 165.     CrossRef
  • Document Network and Conceptual and Social Structures of Clinical Endoscopy from 2015 to July 2021 Based on the Web of Science Core Collection: A Bibliometric Study
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  • The Journal Citation Indicator has arrived for Emerging Sources Citation Index journals, including the Journal of Educational Evaluation for Health Professions, in June 2021
    Sun Huh
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  • How Annals of Dermatology Has Improved the Scientific Quality and Ethical Standards of its Articles in the Two-Year Period since October 2018
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    Annals of Dermatology.2020; 32(5): 353.     CrossRef
Compliance of “Principles of transparency and best practice in scholarly publishing” in academic society published journals
Hyung Wook Choi, Ye Jin Choi, Soon Kim
Sci Ed. 2019;6(2):112-121.   Published online August 19, 2019
DOI: https://doi.org/10.6087/kcse.171
  • 10,162 View
  • 155 Download
  • 14 Web of Science
  • 18 Crossref
AbstractAbstract PDF
Purpose
Four international associations, including the Open Access Scholarly Publishers Association, the Directory of Open Access Journals, the Committee on Publication Ethics, and the World Association of Medical Editors declared the third version of “Principles of transparency and best practice in scholarly publishing” to ensure transparency and quality in journal publications. This study is aimed at assessing the guidelines from the journals’ websites manually.
Methods
In this study, three researchers investigate the homepages of 781 academic society-published journals that are registered in the Science Citation Index Expanded and whether these journals are effectively adopting these new guidelines. In this paper, 33 items from the guidelines are examined. The 33 items are rearranged into four different categories: basic journal information; publication ethics; copyright and archiving information; and profit model. The researchers count yes or no after checking the adopting status on the journal homepage and dividing into four scales: 0% to 25% for is rarely practiced, 26% to 50% for is poorly practiced, 51% to 75% for is adequately practiced, and 76% to 100% for is well practiced.
Results
Of the 33 items, 10 are found to be poorly or rarely practiced, including readership, data sharing, archiving policies, and profit model information.
Conclusion
It could be the most up-to-date indicator of the current status of applying best practice guidelines. Society journal editors especially from Asia should evaluate their journals regarding “Principles of transparency and best practice in scholarly publishing”.

Citations

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  • Транспарентность в научных журналах по био- и пищевым технологиям: сравнительный анализ редакционных политик на основе принципов COPE, OASPA, WAME и DOAJ
    М. А. Косычева
    Научный редактор и издатель.2025; 9(2): 179.     CrossRef
  • Conformity with Publication Ethics Guidelines among Nigerian Medical Journals
    Adaora A Onyiaorah, Euzebus C Ezugwu
    Journal of Empirical Research on Human Research Ethics.2025; 20(4): 250.     CrossRef
  • The NIAID Discovery Portal: a unified search engine for infectious and immune-mediated disease datasets
    Ginger Tsueng, Emily Bullen, Candice Czech, Dylan Welzel, Leandro Collares, Jason Lin, Everaldo Rodolpho, Zubair Qazi, Nichollette Acosta, Lisa M. Mayer, Sudha Venkatachari, Zorana Mitrović Vučičević, Poromendro N. Burman, Deepti Jain, Jack DiGiovanna, Ma
    mSystems.2025;[Epub]     CrossRef
  • Opening up to the open data
    Prakash K. Dubey
    Journal of Indira Gandhi Institute of Medical Sciences.2024; 10(1): 1.     CrossRef
  • The COPE / DOAJ / OASPA / WAME Principles of Transparency and Best Practice in Scholarly Publishing: A Critical Analysis
    Jaime A. Teixeira da Silva, Salim Moussa
    ETHICS IN PROGRESS.2024; 15(1): 130.     CrossRef
  • Journal Data Accessibility Policies: Challenges and Opportunities
    Elena V. Tikhonova, Marina A. Kosycheva
    Health, Food & Biotechnology.2024;[Epub]     CrossRef
  • Prestige of scholarly book publishers—An investigation into criteria, processes, and practices across countries
    Eleonora Dagienė
    Research Evaluation.2023; 32(2): 356.     CrossRef
  • The use of data repositories in dermatology
    Umer Nadir, Loma Dave, Michael D. Yi, Farhana Ikmal Hisham, Murad Alam
    Archives of Dermatological Research.2023; 315(6): 1851.     CrossRef
  • Promotion to Top-Tier Journal and Development Strategy of the Annals of Laboratory Medicine for Strengthening its Leadership in the Medical Laboratory Technology Category: A Bibliometric Study
    Sun Huh
    Annals of Laboratory Medicine.2022; 42(3): 321.     CrossRef
  • Cumplimiento de Estándares Internacionales en Publicaciones Arbitradas Académicas Mexicanas y Guatemaltecas
    Humberto Emilio Aguilera Arévalo
    Revista Académica Sociedad del Conocimiento Cunzac.2022; 2(1): 89.     CrossRef
  • Open Data Policies among Library and Information Science Journals
    Brian Jackson
    Publications.2021; 9(2): 25.     CrossRef
  • Document Network and Conceptual and Social Structures of Clinical Endoscopy from 2015 to July 2021 Based on the Web of Science Core Collection: A Bibliometric Study
    Sun Huh
    Clinical Endoscopy.2021; 54(5): 641.     CrossRef
  • The Journal Citation Indicator has arrived for Emerging Sources Citation Index journals, including the Journal of Educational Evaluation for Health Professions, in June 2021
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2021; 18: 20.     CrossRef
  • Changes in bibliographic information associated with Korean scientific journals from 2011 to 2019
    Yoon Joo Seo, Hye-Min Cho, Sun Huh
    Science Editing.2020; 7(1): 11.     CrossRef
  • Compliance of “Principles of transparency and best practice in scholarly publishing” in Korean academic society-published journals listed in Journal Citation Reports
    Ye Jin Choi, Hyung Wook Choi, Soon Kim
    Science Editing.2020; 7(1): 24.     CrossRef
  • Position of Ultrasonography in the scholarly journal network based on bibliometrics and developmental strategies for it to become a top-tier journal
    Sun Huh
    Ultrasonography.2020; 39(3): 238.     CrossRef
  • How Annals of Dermatology Has Improved the Scientific Quality and Ethical Standards of its Articles in the Two-Year Period since October 2018
    Sun Huh
    Annals of Dermatology.2020; 32(5): 353.     CrossRef
  • Recent trends in medical journals’ data sharing policies and statements of data availability
    Sun Huh
    Archives of Plastic Surgery.2019; 46(06): 493.     CrossRef
Reviews
Ethical challenges regarding artificial intelligence in medicine from the perspective of scientific editing and peer review
Seong Ho Park, Young-Hak Kim, Jun Young Lee, Soyoung Yoo, Chong Jai Kim
Sci Ed. 2019;6(2):91-98.   Published online June 19, 2019
DOI: https://doi.org/10.6087/kcse.164
  • 20,016 View
  • 500 Download
  • 18 Web of Science
  • 19 Crossref
AbstractAbstract PDF
This review article aims to highlight several areas in research studies on artificial intelligence (AI) in medicine that currently require additional transparency and explain why additional transparency is needed. Transparency regarding training data, test data and results, interpretation of study results, and the sharing of algorithms and data are major areas for guaranteeing ethical standards in AI research. For transparency in training data, clarifying the biases and errors in training data and the AI algorithms based on these training data prior to their implementation is critical. Furthermore, biases about institutions and socioeconomic groups should be considered. For transparency in test data and test results, authors should state if the test data were collected externally or internally and prospectively or retrospectively at first. It is necessary to distinguish whether datasets were convenience samples consisting of some positive and some negative cases or clinical cohorts. When datasets from multiple institutions were used, authors should report results from each individual institution. Full publication of the results of AI research is also important. For transparency in interpreting study results, authors should interpret the results explicitly and avoid over-interpretation. For transparency by sharing algorithms and data, sharing is required for replication and reproducibility of the research by other researchers. All of the above mentioned high standards regarding transparency of AI research in healthcare should be considered to facilitate the ethical conduct of AI research.

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  • New institutional theory and AI: toward rethinking of artificial intelligence in organizations
    Ihor Rudko, Aysan Bashirpour Bonab, Maria Fedele, Anna Vittoria Formisano
    Journal of Management History.2025; 31(2): 261.     CrossRef
  • The role of explainability and transparency in fostering trust in AI healthcare systems: a systematic literature review, open issues and potential solutions
    Christopher Ifeanyi Eke, Liyana Shuib
    Neural Computing and Applications.2025; 37(4): 1999.     CrossRef
  • Towards Integration of Artificial Intelligence into Medical Devices as a Real-Time Recommender System for Personalised Healthcare: State-of-the-Art and Future Prospects
    Talha Iqbal, Mehedi Masud, Bilal Amin, Conor Feely, Mary Faherty, Tim Jones, Michelle Tierney, Atif Shahzad, Patricia Vazquez
    Health Sciences Review.2024; : 100150.     CrossRef
  • The Knowledge of Students at Bursa Faculty of Medicine towards Artificial Intelligence: A Survey Study
    Deniz GÜVEN, Elif Güler KAZANCI, Ayşe ÖREN, Livanur SEVER, Pelin ÜNLÜ
    Journal of Bursa Faculty of Medicine.2024; 2(1): 20.     CrossRef
  • Benefits and Challenges of Using AI for Peer Review: A Study on Researchers’ Perceptions
    Louie Giray
    The Serials Librarian.2024; 85(5-6): 144.     CrossRef
  • Artificial intelligence technology in MR neuroimaging. А radiologist’s perspective
    G. E. Trufanov, A. Yu. Efimtsev
    Russian Journal for Personalized Medicine.2023; 3(1): 6.     CrossRef
  • The minefield of indeterminate thyroid nodules: could artificial intelligence be a suitable diagnostic tool?
    Vincenzo Fiorentino, Cristina Pizzimenti, Mariausilia Franchina, Marina Gloria Micali, Fernanda Russotto, Ludovica Pepe, Gaetano Basilio Militi, Pietro Tralongo, Francesco Pierconti, Antonio Ieni, Maurizio Martini, Giovanni Tuccari, Esther Diana Rossi, Gu
    Diagnostic Histopathology.2023; 29(8): 396.     CrossRef
  • Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review
    Anto Čartolovni, Ana Tomičić, Elvira Lazić Mosler
    International Journal of Medical Informatics.2022; 161: 104738.     CrossRef
  • Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide
    Jose Bernal, Claudia Mazo
    Applied Sciences.2022; 12(20): 10228.     CrossRef
  • Artificial intelligence in the water domain: Opportunities for responsible use
    Neelke Doorn
    Science of The Total Environment.2021; 755: 142561.     CrossRef
  • Artificial intelligence for ultrasonography: unique opportunities and challenges
    Seong Ho Park
    Ultrasonography.2021; 40(1): 3.     CrossRef
  • Key Principles of Clinical Validation, Device Approval, and Insurance Coverage Decisions of Artificial Intelligence
    Seong Ho Park, Jaesoon Choi, Jeong-Sik Byeon
    Korean Journal of Radiology.2021; 22(3): 442.     CrossRef
  • Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations
    Nicholas RJ Möllmann, Milad Mirbabaie, Stefan Stieglitz
    Health Informatics Journal.2021;[Epub]     CrossRef
  • Presenting machine learning model information to clinical end users with model facts labels
    Mark P. Sendak, Michael Gao, Nathan Brajer, Suresh Balu
    npj Digital Medicine.2020;[Epub]     CrossRef
  • Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
    Zeeshan Ahmed, Khalid Mohamed, Saman Zeeshan, XinQi Dong
    Database.2020;[Epub]     CrossRef
  • The ethics of machine learning in medical sciences: Where do we stand today?
    Treena Basu, Sebastian Engel-Wolf, Olaf Menzer
    Indian Journal of Dermatology.2020; 65(5): 358.     CrossRef
  • Key principles of clinical validation, device approval, and insurance coverage decisions of artificial intelligence
    Seong Ho Park, Jaesoon Choi, Jeong-Sik Byeon
    Journal of the Korean Medical Association.2020; 63(11): 696.     CrossRef
  • Reflections as 2020 comes to an end: the editing and educational environment during the COVID-19 pandemic, the power of Scopus and Web of Science in scholarly publishing, journal statistics, and appreciation to reviewers and volunteers
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2020; 17: 44.     CrossRef
  • What should medical students know about artificial intelligence in medicine?
    Seong Ho Park, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, Young-Suk Lim
    Journal of Educational Evaluation for Health Professions.2019; 16: 18.     CrossRef
Peer review at the beginning of the 21st century
Irene Hames
Sci Ed. 2014;1(1):4-8.   Published online February 13, 2014
DOI: https://doi.org/10.6087/kcse.2014.1.4
  • 25,406 View
  • 166 Download
  • 6 Web of Science
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AbstractAbstract PDF

Vigorous debate currently surrounds peer review, and polarized views are often expressed. Despite criticisms about the process, studies have found that it is still valued by researchers, with rigorous peer review being rated by authors as the most important service they expect to receive when paying to have their papers published open access. The expectations of peer review and what it can achieve need, however, to be realistic. Peer review is also only as good and effective as the people managing the process, and the large variation in standards that exists is one of the reasons some of the research and related communities have become critical of and disillusioned with the traditional model of peer review. The role of the editor is critical. All editors must act as proper editors, not just moving manuscripts automatically through the various stages, but making critical judgements throughout the process to reach sound and unbiased editorial decisions. New models and innovations in peer review are appearing. Many issues, however, remain the same: rigorous procedures and high ethical standards should be in place, those responsible for making decisions and managing the process need to be trained to equip them for their roles and responsibilities, and systems need to be adapted to deal with new challenges such as the increasing amounts of data being generated and needing to be taken into account when assessing the validity and soundness of work and the conclusions being drawn.

Citations

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  • The challenge of recruiting peer reviewers from one medical journal’s perspective
    Christopher J. Peterson, Cynthia Orticio, Kenneth Nugent
    Baylor University Medical Center Proceedings.2022; 35(3): 394.     CrossRef
  • Effective Peer Review: Who, Where, or What?
    Russell P. Hall
    JID Innovations.2022; 2(6): 100162.     CrossRef
  • JID Innovations and Peer Review
    Russell P. Hall
    JID Innovations.2021; 1(3): 100056.     CrossRef
  • Enhancing reproducibility: Failures from Reproducibility Initiatives underline core challenges
    Kevin Mullane, Michael Williams
    Biochemical Pharmacology.2017; 138: 7.     CrossRef
  • Survey on open peer review: Attitudes and experience amongst editors, authors and reviewers
    Tony Ross-Hellauer, Arvid Deppe, Birgit Schmidt, Jelte M. Wicherts
    PLOS ONE.2017; 12(12): e0189311.     CrossRef
  • Editing and publishing scholarly journals in the internet age
    Kihong Kim
    Science Editing.2014; 1(1): 2.     CrossRef
  • The big picture: scholarly publishing trends 2014
    Pippa Smart
    Science Editing.2014; 1(2): 52.     CrossRef

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