从快速规模的出版物和有问题的研究中量化对健康和生物医学文献完整性的新威胁
Matt Spick1, Anthony Onoja1, Charlie Harrison2
1School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom, GU2 7XH.
Journal of clinical epidemiology
|February 25, 2026
概括
九个开放的健康数据集显示出利用的迹象,出版率突破预测. 这一激增,特别是来自中国的激增,引发了人们对研究诚信和开放科学原则的担忧.
科学领域:
- 图书统计学 图书统计学
- 开放科学是一个开放的科学.
- 医疗信息学 医疗信息学
背景情况:
- 分析开放获取健康数据集的出版物数量的增加导致了误导性的发现.
- 人工智能辅助和配方工作流被怀疑是这种趋势的贡献者.
- 出版商越来越多地阻止使用开放访问健康数据集的提交.
研究的目的:
- 识别与已确定的趋势相反的出版率的开放式健康数据集.
- 调查出版偏差,作者地理来源和公式标题之间的相关性.
主要方法:
- 科学度分析36个数据集的出版趋势.
- 使用OpenAlex数据库进行出版计数.
- 应用自动回归集成移动平均线 (ARIMA) 用于趋势预测.
主要成果:
- 九个数据集 (FAERS,NHANES,英国生物银行,FinnGen,GBD,MIMIC,CHARLS,CDC WONDER,TrinetX) 显示了纸厂剥削的标志. 纸厂剥削的标志包括:
- 这些9个数据集显示,2025年有23005个出版物,超过了ARIMA预测的11577个.
- 从2022年到2025年,出版物增加了3.0倍,中国 (4.2倍) 的比率高于世界其他地区 (1.9倍).
- 同时,也发现了公式式标题的增加.
结论:
- 调查结果表明,在公共卫生和药物安全方面,研究诚信存在风险.
- 剥削性工作流可以通过允许的开放访问数据政策来促进.
- 需要保护机制来维护开放科学和FAIR数据原则.
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