{"title":"绘制90年的科研诚信研究（1935-2024）：科学计量学分析。","authors":"Gengyan Tang","doi":"10.1080/08989621.2025.2470860","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Research integrity is fundamental to responsible research practice. Despite attention, the intellectual structure and evolution of this field remains underexplored. This study maps the knowledge landscape of research integrity, identifying key themes, contributions, and trends.</p><p><strong>Methods: </strong>A scientometric analysis was conducted on 6,895 records from Web of Science and Scopus (1935-2024). CiteSpace facilitated network analysis, including co-authorship, keyword co-occurrence, and co-citation patterns, while burst detection identified topics.</p><p><strong>Results: </strong>Research integrity studies have grown significantly since the 1980s, with interdisciplinary collaboration. Keyword and co-citation analyses reveal a shift from early discussions on scientific misconduct to concerns such as open science, AI ethics, and research governance. A collaboration network has emerged, with leading contributions from North America, Europe, and Asia.</p><p><strong>Conclusions: </strong>Research integrity has matured into an interdisciplinary field, reaching academic consensus with growing integration of policies, regulations, and technology. Future research is expected to focus on AI's role in research integrity. Key areas of concern include algorithmic bias, automation ethics, and implications for scholarly publishing. Open science and transparency will remain central, particularly in addressing data fabrication, paper mills, and predatory publishing. Institutional policies will continue evolving, embedding integrity principles into governance and public engagement initiatives.</p>","PeriodicalId":50927,"journal":{"name":"Accountability in Research-Policies and Quality Assurance","volume":" ","pages":"1-36"},"PeriodicalIF":4.0000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping nine decades of research integrity studies (1935-2024): A scientometric analysis.\",\"authors\":\"Gengyan Tang\",\"doi\":\"10.1080/08989621.2025.2470860\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Research integrity is fundamental to responsible research practice. Despite attention, the intellectual structure and evolution of this field remains underexplored. This study maps the knowledge landscape of research integrity, identifying key themes, contributions, and trends.</p><p><strong>Methods: </strong>A scientometric analysis was conducted on 6,895 records from Web of Science and Scopus (1935-2024). CiteSpace facilitated network analysis, including co-authorship, keyword co-occurrence, and co-citation patterns, while burst detection identified topics.</p><p><strong>Results: </strong>Research integrity studies have grown significantly since the 1980s, with interdisciplinary collaboration. Keyword and co-citation analyses reveal a shift from early discussions on scientific misconduct to concerns such as open science, AI ethics, and research governance. A collaboration network has emerged, with leading contributions from North America, Europe, and Asia.</p><p><strong>Conclusions: </strong>Research integrity has matured into an interdisciplinary field, reaching academic consensus with growing integration of policies, regulations, and technology. Future research is expected to focus on AI's role in research integrity. Key areas of concern include algorithmic bias, automation ethics, and implications for scholarly publishing. Open science and transparency will remain central, particularly in addressing data fabrication, paper mills, and predatory publishing. Institutional policies will continue evolving, embedding integrity principles into governance and public engagement initiatives.</p>\",\"PeriodicalId\":50927,\"journal\":{\"name\":\"Accountability in Research-Policies and Quality Assurance\",\"volume\":\" \",\"pages\":\"1-36\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Accountability in Research-Policies and Quality Assurance\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1080/08989621.2025.2470860\",\"RegionNum\":1,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICAL ETHICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accountability in Research-Policies and Quality Assurance","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1080/08989621.2025.2470860","RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL ETHICS","Score":null,"Total":0}
引用次数: 0
摘要
背景：研究诚信是负责任的研究实践的基础。尽管受到关注，但这一领域的知识结构和进化仍未得到充分探索。本研究绘制了研究诚信的知识版图，确定了关键主题、贡献和趋势。方法：对Web of Science和Scopus数据库1935-2024年的6895篇文献进行科学计量学分析。CiteSpace促进了网络分析，包括合著、关键词共现和共引模式，而突发检测可以识别主题。结果：自20世纪80年代以来，在跨学科合作的推动下，研究诚信研究显著增长。关键词和共被引分析表明，从早期对科学不端行为的讨论转向对开放科学、人工智能伦理和研究治理等问题的关注。一个由北美、欧洲和亚洲的主要贡献者组成的协作网络已经出现。结论：科研诚信已经成熟为一个跨学科领域，随着政策、法规和技术的日益融合，学术共识日益形成。预计未来的研究将集中在人工智能在研究诚信方面的作用。关注的关键领域包括算法偏差、自动化伦理以及对学术出版的影响。开放科学和透明度仍将是核心，尤其是在处理数据造假、造纸厂和掠夺性出版方面。制度政策将继续发展，将诚信原则纳入治理和公众参与倡议。
Mapping nine decades of research integrity studies (1935-2024): A scientometric analysis.
Background: Research integrity is fundamental to responsible research practice. Despite attention, the intellectual structure and evolution of this field remains underexplored. This study maps the knowledge landscape of research integrity, identifying key themes, contributions, and trends.
Methods: A scientometric analysis was conducted on 6,895 records from Web of Science and Scopus (1935-2024). CiteSpace facilitated network analysis, including co-authorship, keyword co-occurrence, and co-citation patterns, while burst detection identified topics.
Results: Research integrity studies have grown significantly since the 1980s, with interdisciplinary collaboration. Keyword and co-citation analyses reveal a shift from early discussions on scientific misconduct to concerns such as open science, AI ethics, and research governance. A collaboration network has emerged, with leading contributions from North America, Europe, and Asia.
Conclusions: Research integrity has matured into an interdisciplinary field, reaching academic consensus with growing integration of policies, regulations, and technology. Future research is expected to focus on AI's role in research integrity. Key areas of concern include algorithmic bias, automation ethics, and implications for scholarly publishing. Open science and transparency will remain central, particularly in addressing data fabrication, paper mills, and predatory publishing. Institutional policies will continue evolving, embedding integrity principles into governance and public engagement initiatives.
期刊介绍：
Accountability in Research: Policies and Quality Assurance is devoted to the examination and critical analysis of systems for maximizing integrity in the conduct of research. It provides an interdisciplinary, international forum for the development of ethics, procedures, standards policies, and concepts to encourage the ethical conduct of research and to enhance the validity of research results.
The journal welcomes views on advancing the integrity of research in the fields of general and multidisciplinary sciences, medicine, law, economics, statistics, management studies, public policy, politics, sociology, history, psychology, philosophy, ethics, and information science.
All submitted manuscripts are subject to initial appraisal by the Editor, and if found suitable for further consideration, to peer review by independent, anonymous expert referees.
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