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Original Articles
Factors influencing authors’ intention to continue publishing in data journals: a cross-sectional survey
Seungeun Lee, Jihyun Kim
Sci Ed. 2025;12(2):183-189.   Published online August 7, 2025
DOI: https://doi.org/10.6087/kcse.383
  • 1,399 View
  • 41 Download
AbstractAbstract PDFSupplementary Material
Purpose
This study investigated the factors influencing data paper authors’ continuance intention to publish in data journals, drawing on the post-acceptance model and the unified theory of acceptance and use of technology. Based on these theoretical frameworks, four factors—perceived usefulness, satisfaction, effort expectancy, and social influence—were hypothesized to be associated with authors’ continuance intention.
Methods
A cross-sectional survey was conducted using an online questionnaire distributed to authors who had published in eight data journals where data papers constituted more than 20% of all publications. In total, 453 responses were collected, resulting in a 6.2% response rate. Ordered logistic regression analysis was employed to identify significant influencing factors.
Results
The ordered logistic regression analysis indicated that satisfaction and perceived usefulness were positively associated with authors’ continuance intention, while effort expectancy was negatively associated. Among these, satisfaction with a data journal exerted the strongest influence on continuance intention.
Conclusion
These findings underscore the importance for data journal publishers to actively manage authors’ satisfaction throughout the submission and peer review processes. The identification of perceived usefulness as another significant factor suggests that funders and academic institutions should incentivize authors to publish in data journals. Authors who perceived that publishing in a data journal required excessive time were less likely to intend to publish there again. Training in research data management best practices, provided by academic libraries, may help reduce the time burden associated with data preparation and sharing.
Trends, causes, and collaboration patterns of retracted Taiwanese medical research: a bibliometric study
Joshua Wang
Sci Ed. 2025;12(1):35-42.   Published online February 11, 2025
DOI: https://doi.org/10.6087/kcse.360
  • 4,285 View
  • 201 Download
AbstractAbstract PDF
Purpose
Retraction of published literature is an increasingly important mechanism for protecting the scholarly record in today’s accelerated publishing environment. Analyzing retracted articles offers unique insights into how research communities maintain academic integrity. Taiwan is a major contributor to global medical research and has sustained public and media interest in academic integrity. Yet, no comprehensive analysis of retractions involving Taiwan-affiliated authors has been conducted. This paper therefore aimed to systematically examine retractions in Taiwanese medical research.
Methods
Data extracted from both PubMed and the Retraction Watch Database were analyzed to determine the number of retracted articles and their reasons for retraction.
Results
In total, 181 retractions of medical research articles with at least one Taiwan-affiliated author were included in the analysis, with the number of retractions steadily increasing since the first retracted article was published in 1992. Taiwanese medical research has the 9th highest retraction rate among the top 21 countries in medical research publications (6.08 retractions per 10,000 publications). However, this rate is lower than those of other highly productive Asian countries, including China, Korea, Japan, and India. Fifty-eight (32.04%) of the retractions involved international collaboration, most commonly with authors affiliated with the United States and China. Over the past 33 years, the reasons for retraction have gradually shifted from plagiarism or data manipulation to compromised peer review systems, ethical issues, and authorship disputes.
Conclusion
The results reveal that retractions in Taiwanese medical research are evolving and distinct from those in neighboring regions. This finding highlights the need to examine Taiwanese medical researchers’ perspectives on academic integrity and current publishing trends.
Ethical guidelines for the use of generative artificial intelligence and artificial intelligence-assisted tools in scholarly publishing: a thematic analysis
Adéle da Veiga
Sci Ed. 2025;12(1):28-34.   Published online February 5, 2025
DOI: https://doi.org/10.6087/kcse.352
  • 13,650 View
  • 1,045 Download
  • 2 Web of Science
  • 4 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This analysis aims to propose guidelines for artificial intelligence (AI) research ethics in scientific publications, intending to inform publishers and academic institutional policies in order to guide them toward a coherent and consistent approach to AI research ethics.
Methods
A literature-based thematic analysis was conducted. The study reviewed the publication policies of the top 10 journal publishers addressing the use of AI in scholarly publications as of October 2024. Thematic analysis using Atlas.ti identified themes and subthemes across the documents, which were consolidated into proposed research ethics guidelines for using generative AI and AI-assisted tools in scholarly publications.
Results
The analysis revealed inconsistencies among publishers’ policies on AI use in research and publications. AI-assisted tools for grammar and formatting are generally accepted, but positions vary regarding generative AI tools used in pre-writing and research methods. Key themes identified include author accountability, human oversight, recognized and unrecognized uses of AI tools, and the necessity for transparency in disclosing AI usage. All publishers agree that AI tools cannot be listed as authors. Concerns involve biases, quality and reliability issues, compliance with intellectual property rights, and limitations of AI detection tools.
Conclusion
The article highlights the significant knowledge gap and inconsistencies in guidelines for AI use in scientific research. There is an urgent need for unified ethical standards, and guidelines are proposed for distinguishing between the accepted use of AI-assisted tools and the cautious use of generative AI tools.

Citations

Citations to this article as recorded by  
  • “An Assistant in Your Pocket”: How Generative AI Shapes the Publishing Practices of Russian Postgraduate Students
    E. A. Koval, S. G. Ushkin, O. N. Ageeva, N. V. Zhadunova
    Vysshee Obrazovanie v Rossii = Higher Education in Russia.2026; 34(12): 107.     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
  • On Artificial Intelligence and the Transformation of Scientific Publishing
    Ingri G. Camacho-Triana, Julian Arcila-Forero, José D. Gutierrez-Mendoza, Ian F. Guarnizo-Martinez, Lenin A. Bulla-Cruz, Sonia C. Mangones M.
    Ingeniería e Investigación.2026; 45(3): e125615.     CrossRef
  • Biomedical research publication in the age of artificial intelligence: Current prospects for balancing integrity and innovation
    Vivek Kumar Bains, Ujjal K Bhawal
    Journal of Healthcare Research and Education.2025; 1: 3.     CrossRef
Review
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
  • 34,718 View
  • 1,456 Download
  • 22 Web of Science
  • 23 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
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    Daniela Schnitzler
    The Journal of Physiology.2026; 604(1): 31.     CrossRef
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    Zhongshi Wang, Mengyue Gong
    Learned Publishing.2026;[Epub]     CrossRef
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    Panagiotis Tsigaris, Jaime A. Teixeira da Silva
    Next Research.2026; : 101396.     CrossRef
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    Şükran Türkmen Çiçek, Dilek Tüfekci Can
    Journal of Educational Technology and Online Learning.2026; 9(1): 45.     CrossRef
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    Muhammad Zaim, Safnil Arsyad, Budi Waluyo, An Fauzia Rozani Syafei, Ratmanida, Rifqi Aulia Zaim
    Education Sciences.2026; 16(2): 271.     CrossRef
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    Jacob Oppong Nkansah, Edward Kwabena Ameyaw, Padmore Adusei Amoah
    Research Evaluation.2026;[Epub]     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
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    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
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    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
Original Articles
Co-authorship network analysis of North Korean chemistry researchers based on issues of Chemistry and Chemical Engineering published from 2008 to 2022: a bibliometric study
Eunmi Park, Ho-Yeol Yoon
Sci Ed. 2024;11(1):38-43.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.329
  • 5,190 View
  • 137 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study conducted a comprehensive analysis of North Korean domestic journals, using scientific quantification methodologies to identify prominent researchers and research areas within the field of chemistry.
Methods
Data were collected from the journal Chemistry and Chemical Engineering published in North Korea. Through an analysis of co-authorship relations and literature reviews of papers authored by researchers who were highly influential in research networks, core research areas were identified.
Results
The researcher with the highest number of publications in the given period was Yong-Chol Lee, with 31 publications, followed closely by Gyun Kim, who also demonstrated significant research activity. When focusing on the last 5 years, Myeong-Cheol Hong emerged as a prominent figure. Yong-Chol Lee has expertise across diverse fields of chemistry, including fine chemicals, biochemistry, and mineral materials. Gyun Kim, in contrast, is recognized for his in-depth knowledge of organics, enzymes, processes, catalysis, fine chemicals, and industrial chemistry. Myung-Cheol Hong’s research primarily centers around organic chemical synthesis within the fine chemical domain. All three researchers are making substantial contributions to the chemical industry.
Conclusion
The findings of this study provide valuable insights into research trends in the field of chemistry in North Korea and contribute to a broader understanding of the discipline’s internal knowledge structure within the global academic community. This research is anticipated to be especially useful for scholars who are analyzing bibliographic information pertaining to North Korea.

Citations

Citations to this article as recorded by  
  • Nuclear science in North Korea: a case study of the Journal of Kim Il-Sung university, 1982–2024
    Dae Un Hong
    Scientometrics.2026;[Epub]     CrossRef
Impact and perceived value of the revolutionary advent of artificial intelligence in research and publishing among researchers: a survey-based descriptive study
Riya Thomas, Uttkarsha Bhosale, Kriti Shukla, Anupama Kapadia
Sci Ed. 2023;10(1):27-34.   Published online February 16, 2023
DOI: https://doi.org/10.6087/kcse.294
  • 11,787 View
  • 587 Download
  • 12 Web of Science
  • 16 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study was conducted to understand the perceptions and awareness of artificial intelligence (AI) in the academic publishing landscape.
Methods
We conducted a global survey entitled “Role and impact of AI on the future of academic publishing” to understand the impact of the AI wave in the scholarly publishing domain. This English-language survey was open to all researchers, authors, editors, publishers, and other stakeholders in the scholarly community. Conducted between August and October 2021, the survey received responses from around 212 universities across 54 countries.
Results
Out of 365 respondents, about 93% belonged to the age groups of 18–34 and 35–54 years. While 50% of the respondents selected plagiarism detection as the most widely known AI-based application, image recognition (42%), data analytics (40%), and language enhancement (39%) were some other known applications of AI. The respondents also expressed the opinion that the academic publishing landscape will significantly benefit from AI. However, the major challenges restraining the large-scale adoption of AI, as expressed by 93% of the respondents, were limited knowledge and expertise, as well as difficulties in integrating AI-based solutions into existing IT infrastructure.
Conclusion
The survey responses reflected the necessity of AI in research and publishing. This study suggests possible ways to support a smooth transition. This can be best achieved by educating and creating awareness to ease possible fears and hesitation, and to actualize the promising benefits of AI.

Citations

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  • Do AI-related papers in top management science journals contribute greater academic influence and online attention?
    Lu Guo, Yezhu Wang, Ayuan Zhang
    The Electronic Library.2026; 44(1): 73.     CrossRef
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    European Journal of Education.2025;[Epub]     CrossRef
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    International Journal of Educational Technology in Higher Education.2025;[Epub]     CrossRef
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    PLOS One.2025; 20(8): e0330416.     CrossRef
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    Jairo Buitrago-Ciro, Estela Morales Campos, César Leonardo Villamizar Romero
    Investigación Bibliotecológica: archivonomía, bibliotecología e información.2025; 39(104): 111.     CrossRef
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    ZIYANG XU
    Proceedings of the ALISE Annual Conference.2025;[Epub]     CrossRef
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    Tosin Ekundayo, Zafarullah Khan, Sabiha Nuzhat, Tze Wei Liew
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    Huriye Yaşar, Vasif Karagücük
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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
  • 12,650 View
  • 526 Download
  • 11 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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    Bernd Carsten Stahl
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    Li Dong
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    Human Behavior and Emerging Technologies.2024;[Epub]     CrossRef
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    Sun Huh
    Science Editing.2023; 10(1): 1.     CrossRef
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    Şule ÇINAR YAĞCI, Tugba AYDIN YILDIZ
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Original Articles
Charting variety, scope, and impact of open access diamond journals in various disciplines and regions: a survey-based observational study
Korean Council of Science Editors
Sci Ed. 2022;9(2):120-135.   Published online August 19, 2022
DOI: https://doi.org/10.6087/kcse.277
  • 10,046 View
  • 345 Download
  • 6 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
The variety, scope, and impact of open access (OA) diamond journals across disciplines and regions from July 22 to September 11, 2020 were charted to characterize the current OA diamond landscape.
Methods
The total number of diamond journals was estimated, including those outside the Directory of Open Access Journals (DOAJ). The distribution across regions, disciplines, and publisher types was described. The scope of journals in terms of authorship and readership was investigated. Information was collected on linguistic diversity, journal dynamics and life cycle, and their visibility in scholarly databases.
Results
The number of OA diamond journals is estimated to be 29,000. OA diamond journals are estimated to publish 356,000 articles per year. The OA diamond sector is diverse in terms of regions (45% in Europe, 25% in Latin America, 16% in Asia, and 5% in the United States/Canada) and disciplines (60% humanities and social sciences, 22% sciences, and 17% medicine). More than 70% of OA diamond journals are published by university-owned publishers, including university presses. The majority of OA diamond journals are small, publishing fewer than 25 articles a year. English (1,210), Spanish (492), and French (342) are the most common languages of the main texts. Out of 1,619 journals, 1,025 (63.3%) are indexed in DOAJ, 492 (30.4%) in Scopus, and 321 (19.8%) in Web of Science.
Conclusion
The patterns and trends reported herein provide insights into the diversity and importance of the OA diamond journal landscape and the accompanying opportunities and challenges in supporting this publishing model.

Citations

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  • Citation Metrics of Open Access and Subscription Journals in Education: An Analysis in Scopus’s Education Category
    Camila Lopes Ferreira, Luiz Alberto Pilatti, José Roberto Herrera Cantorani, Claudia Tania Picinin
    Education for Information.2026; 42(1): 3.     CrossRef
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    A. Subaveerapandiyan, Leili Seifi, Somipam R Shimray, Naved Ahmad
    Journal of Librarianship and Information Science.2025;[Epub]     CrossRef
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    Sun Huh
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Development of a decision-support tool to quantify authorship contributions in clinical trial publications
Sam T. Mathew, Habeeb Ibrahim Abdul Razack, Prasanth Viswanathan
Sci Ed. 2022;9(1):22-29.   Published online February 20, 2022
DOI: https://doi.org/10.6087/kcse.259
  • 8,760 View
  • 372 Download
AbstractAbstract PDF
Purpose
This study aimed to develop a decision-support tool to quantitatively determine authorship in clinical trial publications.
Methods
The tool was developed in three phases: consolidation of authorship recommendations from the Good Publication Practice (GPP) and International Committee of Medical Journal Editors (ICMJE) guidelines, identifying and scoring attributes using a 5-point Likert scale or a dichotomous scale, and soliciting feedback from editors and researchers.
Results
The authorship criteria stipulated by the ICMJE and GPP recommendations were categorized into 2 Modules. Criterion 1 and the related GPP recommendations formed Module 1 (sub-criteria: contribution to design, data generation, and interpretation), while Module 2 was based on criteria 2 to 4 and the related GPP recommendations (sub-criteria: contribution to manuscript preparation and approval). The two modules with relevant sub-criteria were then differentiated into attributes (n = 17 in Module 1, n = 12 in Module 2). An individual contributor can be scored for each sub-criterion by summing the related attribute values; the sum of sub-criteria scores constituted the module score (Module 1 score: 70 [contribution to conception or design of the study, 20; data acquisition, 7; data analysis, 27; interpretation of data, 16]; Module 2 score: 50 [content development, 27; content review, 18; accountability, 5]). The concept was integrated into Microsoft Excel with adequate formulae and macros. A threshold of 50% for each sub-criterion and each module, with an overall score of 65%, is predefined as qualifying for authorship.
Conclusion
This authorship decision-support tool would be helpful for clinical trial sponsors to assess and provide authorship to deserving contributors.
Case Studys
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
  • 10,468 View
  • 190 Download
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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.

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    Md Sozon, Ceceilia Parnther
    Higher Education Quarterly.2026;[Epub]     CrossRef
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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
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  • 124 Download
  • 5 Web of Science
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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.

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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
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Original Articles
Bibliometric analysis of flipped classroom publications from the Web of Science Core Collection published from 2000 to 2019
Hsin-Luen Tsai, Jia-Fen Wu
Sci Ed. 2020;7(2):163-168.   Published online August 20, 2020
DOI: https://doi.org/10.6087/kcse.212
Correction in: Sci Ed 2021;8(1):129
  • 10,124 View
  • 253 Download
  • 6 Web of Science
  • 7 Crossref
AbstractAbstract PDF
Purpose
This study analyzed the bibliometric characteristics of flipped classroom publications in the Social Science Citation Index and Science Citation Index Expanded from 2000 to 2019. Methods: The terms related to “flipped classroom” and “inverted learning” were the keywords for searching journal articles on January 3, 2020. Results: There are 645 articles (including 33 early-access articles), representing 1,938 authors in the 210 journals scanned. The United States, China, and Taiwan were three leading countries/regions in this field. In the top 10 countries, to 10 institutions, the top eight most-cited journals were identified by either the number of publications or the number of citations. Hot-spot themes from the 24 highly-cited articles and author keyword co-occurrence analysis focus on empirical research in the flipped classroom, the overall feasibility of the flipped classroom course design and practical model, and students’ performances, and student-regulated learning (active learning and readiness) outcomes. Conclusion: TThe results indicate that the United States dominated flipped classroom research, originating most of the highly-cited articles, having more prolific authors, and presenting the most-cited institutions. Furthermore, little research has been undertaken into arriving at an understanding of evidentiary effectiveness or consistency in a flipped classroom. Based on the trends identified, we need a call for more specific types of research into the effectiveness of flipped classroom studies and systematic reviews.

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  • Mapping the Scientific Landscape of the Flipped Classroom Model in K-12 Education During 2014-2024
    Thi My Hong Tieu, Thi Thanh Tung Nguyen, Thi Thu Ha Luu, Duc Anh To, Thi Ngoc Minh Dao
    European Journal of Educational Research.2025; 14(4): 1309.     CrossRef
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    Irwanto Irwanto, Esrida Hutahaean
    Journal of Turkish Science Education.2025; 22(3): 451.     CrossRef
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    Rosemary Fisher, Quyen Tran, Elena Verezub
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    Beytullah Karagöz, Hakan Karatop, Ali Erdönmez
    Journal of Advanced Education Studies.2024; 6(1): 134.     CrossRef
  • Ters Yüz Öğrenme Konusunda Yapılan Araştırmaların Bibliyometrik Analizi
    Ali Ateş, Halük Ünsal
    Türk Eğitim Bilimleri Dergisi.2024; 22(2): 1084.     CrossRef
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    Xiuqin Zhou
    Frontiers in Psychology.2023;[Epub]     CrossRef
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Authors’ perspectives on academic publishing: initial observations from a large-scale global survey
Basil D’Souza, Sneha Kulkarni, Clarinda Cerejo
Sci Ed. 2018;5(1):39-43.   Published online February 19, 2018
DOI: https://doi.org/10.6087/kcse.116
  • 17,385 View
  • 285 Download
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AbstractAbstract PDF
Authors are at the heart of academic publishing, but their voices are underrepresented in discussions about improving the academic publishing system. To understand the viewpoints of authors on various aspects of academic publishing and the challenges they face, we developed a large-scale survey entitled “Author perspectives on the academic publishing process” and made it available in December 2016. The survey has received 8,795 responses; this paper is based on the interim results drawn from 5,293 survey responses, and presents some interesting and thought-provoking trends that were observed in the authors’ responses, such as their interpretation of plagiarism and decisive factors in journal selection, as well as their thoughts on what needs to change in the publishing system for it to be more author-friendly. Some of the most important findings of the survey were: (1) the majority of the authors found manuscript preparation to be the most challenging task in the publication process, (2) the impact factor of a journal was reported to be the most important consideration for journal selection, (3) most authors found journal guidelines to be incomplete, (4) major gaps existed in author-journal communication, and (5) although awareness of ethics was high, awareness of good publication practice standards was low. Moreover, more than half of the participants indicated that among areas for improvement in the publishing system, they would like to see changes in the time it takes to publish a paper, the peer review process, and the fairness and objectivity of the publication process. These findings indicate the necessity of making the journal publication process more author-centered and smoothing the way for authors to get published.

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    Xiaoting Xu, Juan Xie, Dongqing Lyu, Zhen Zhang, Jiang Li, Ying Cheng
    Scientometrics.2026; 131(1): 31.     CrossRef
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    Yu-Wei Chang, Hsuan-Tung Yeh
    Scientometrics.2025; 130(2): 1281.     CrossRef
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    Xiaoting Xu, Juan Xie, Jianjun Sun, Ying Cheng
    Learned Publishing.2023; 36(2): 285.     CrossRef
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    Jianxin Liu
    Journal of Librarianship and Information Science.2022; 54(2): 230.     CrossRef
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    Jean Iwaz
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    Yu-Wei Chang
    Scientometrics.2021; 126(4): 3373.     CrossRef
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    Victoria Hayes, Emma Williams, Kathleen M. Fairfield, Carolyne Falank, Dina McKelvy, Robert Bing‐You
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Increased number of papers co-authored by professor and his students in humanities and social sciences journals published in Korea
Rae Seong Hong, Eun Seong Hwang
Sci Ed. 2017;4(1):12-17.   Published online February 20, 2017
DOI: https://doi.org/10.6087/kcse.83
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  • 183 Download
AbstractAbstract PDFSupplementary Material
Humanities and social sciences studies in Korea have remarkably low rates of co-authorship between professors and students. We chose a bibliometrics-based approach to characterize changes in the ratio of joint authorship between professors and students. Articles classified in the humanities and social sciences sectors that were published in journals registered in the Korean Citation Index during 2 phases over a 10-year period—2004 to 2006 (phase 1) and 2011 to 2013 (phase 2)—were used as the main source for the analysis. The study results can be summarized as follows: first, the overall number of co-authored articles drastically increased from phase 1 to phase 2; the percentage of co-authorship articles increased from 34.8% to 47.7%, and the percentage of co-authorship between students and professors rose from 9.9% to 20.7%. This trend was particularly noticeable in the social sciences, such as accounting, social welfare, and economics/business administration. Second, papers written by scholars from Seoul National University, Yonsei University, and Korea University were often published in high-impact factor journals. Among those articles, the rate of professor-student co-authorship increased by 21.6% for 7 years. Third, the increase in professor-student co-authored articles published in high- impact factor journals was even sharper. These findings indicate that perceptions of professor-student co-authorship have changed in the humanities and social sciences. In the near future, positive perceptions toward joint research and joint authorship between professors and students are expected to become more widespread.
Increasing number of authors per paper in Korean science and technology papers
Hyunju Jang, Kihong Kim, Sun Huh, Hyungsun Kim
Sci Ed. 2016;3(2):80-89.   Published online August 20, 2016
DOI: https://doi.org/10.6087/kcse.70
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AbstractAbstract PDF
We examined changes in the number of authors per paper for science and technology papers (agricultural sciences, engineering and technologies, medical sciences, and natural sciences) in Korea. We employed the Scopus database to examine the change in the number of authors in papers, which were published from 2000 to 2015 in the 234 Korean academic journals indexed on Scopus. We found that the global trend of growth in the number of authors per paper is evident in Korea as well. While there was little evidence of a correlation with the citation per paper, a positive correlation was found between with the field-weighted citation impact, another measure of a paper’s impact, in medical and natural science papers. In terms of the type of collaboration, we found that international collaboration papers had the highest number of authors, followed by national and institutional collaborations. The number of authors per paper was highest for those published in the top 10% journals by Source Normalized Impact per Paper, followed by Scopus-indexed journals, while papers published in Korea Citation Index had the lowest number of authors per paper. We propose that the rise in the number of authors per paper in Korean papers may be ascribed to many Korean research programs encouraging group research and the widespread availability of the internet, which has stimulated joint research efforts and encouraged international collaboration.

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  • From Solo to Collaborative: The Global Increase in Neuroscience Authors Over Two Decades
    Mariella Segreti, Ann Paul, Pierpaolo Pani, Aldo Genovesio, Emiliano Brunamonti
    European Journal of Neuroscience.2025;[Epub]     CrossRef
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    Young-Chul Jung
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    Hyunju Jang, Ki Woo Chun, Hyungsun Kim
    Science Editing.2018; 6(1): 47.     CrossRef
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    Yeonok Chung, Kihong Kim
    Science Editing.2017; 4(1): 18.     CrossRef
Training Material
Peer review golden rules and good practice checklist
Irene Hames
Sci Ed. 2016;3(1):36-42.   Published online February 19, 2016
DOI: https://doi.org/10.6087/kcse.61
  • 54,459 View
  • 487 Download
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AbstractAbstract PDF
This is a republication of Appendix 1, The Golden Rules and the Peer-Review Good Practice Checklist, from the author’s book, Peer Review and Manuscript Management in Scientific Journals: guidelines for good practice, published in 2007 by Wiley-Blackwell in association with ALPSP (the Association of Learned and Professional Society Publishers), with the permission of the author and publisher (ISBN: 978-1-4051-3159-9, http://eu.wiley.com/WileyCDA/WileyTitle/ productCd-1405131594.html).

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    Martin Frendø, Andreas Frithioff, Steven Arild Wuyts Andersen
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Original Articles
Analysis of journal attributes of 403 KoreaScience journals from the viewpoint of author
Sung-Nam Cho, Tae-Sul Seo, Hee-Yoon Choi, Sun-A Park
Sci Ed. 2016;3(1):19-25.   Published online February 19, 2016
DOI: https://doi.org/10.6087/kcse.58
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  • 139 Download
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AbstractAbstract PDF
Korea is a country in which journal industry is rapidly increasing recently. KoreaScience is a typical Korean scientific and technical journal database that may be used to analyze Korean journals. A set of journal attributes reflecting the requirements in view of submitting authors was derived and some characteristics of KoreaScience journals such as subject distribution, launch year, publication frequency, publication language, and open access were quantitatively analyzed according to the journal attributes. As a result, it was found that Korean journals are published in almost all subject categories except some subject categories under Physics. The number of journal has been increased rapidly during the period between 1980s and 1990s. Journals published quarterly are 45%. Journals published in English are 31%. Open access journals are 26% while 72% free access.

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  • Temporal characteristics of journals indexed in both KCI and Scopus: analyzing journal age, coverage and journal metrics
    Eungi Kim, Madhu Atteraya, Shreejana Gnawali
    Global Knowledge, Memory and Communication.2025;[Epub]     CrossRef
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    Eko Didik Widianto, Hadiyanto, Teddy Mantoro, Arseto Satriyo Nugroho
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    Sung-Nam Cho, Tae-Sul Seo
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An ontology-based biomedical research paper authoring support tool
Senator Jeong, Sejin Nam, Hyun-Young Park
Sci Ed. 2014;1(1):37-42.   Published online February 13, 2014
DOI: https://doi.org/10.6087/kcse.2014.1.37
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AbstractAbstract PDF

This work aims to develop a paper authoring support system that helps biomedical scientists to organize their ideas for a specific discourse purpose. As an initial step toward the goal, this study developed an abstract authoring support tool that provides candidate lexical bundles organized according to the introduction, methods, results, and discussion (IMRAD) structure. Lexical bundles were extracted from the sentences in 152,083 structured abstracts of the PubMed Central open access subset and their distribution was analyzed by IMRAD section. To organize lexical bundles according to IMRAD, the Lexical Bundle Ontology was built. A Journal Article Tag Suite compliant authoring support tool was implemented. This tool lists candidate lexical bundles corresponding to authors’ discourse purposes in a specific section and thereby helps to complete sentences. We expect this tool be useful, at least in biomedical abstract writing, to organize an author’s ideas to achieve a specific discourse purpose. This tool is targeted primarily at biomedical scientists whose mother tongue is not English; however, English native speakers may find it useful as well.

Citations

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    Sejin Nam, Senator Jeong, Sang-Kyun Kim, Hong-Gee Kim, Victoria Ngo, Nansu Zong
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    Kihong Kim
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