van den Akker Olmo R, Thibault Robert T, Ioannidis John P A, Schorr Susanne G, Strech Daniel
QUEST Center for Responsible Research, Berlin Institute of Health, Berlin, Germany.
Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA.
R Soc Open Sci. 2025 Mar 26;12(3):241364. doi: 10.1098/rsos.241364. eCollection 2025 Mar.
We evaluated what guidance exists in the literature to improve the transparency of studies that make secondary use of health data. To find peer-reviewed papers, we searched PubMed and Google Scholar. To find institutional documents, we used our personal expertise to draft a list of health organizations and searched their websites. We quantitatively and qualitatively coded different types of research transparency: registration, methods reporting, results reporting, data sharing and code sharing. We found 56 documents that provide recommendations to improve the transparency of studies making secondary use of health data, mainly in relation to study registration ( = 27) and/or methods reporting ( = 39). Only three documents made recommendations on data sharing or code sharing. Recommendations for study registration and methods reporting mainly came in the form of structured documents like registration templates and reporting guidelines. Aside from the recommendations aimed directly at researchers, we also found recommendations aimed at the wider research community, typically on how to improve research infrastructure. Limitations or challenges of improving transparency were rarely mentioned, highlighting the need for more nuance in providing transparency guidance for studies that make secondary use of health data.
我们评估了文献中存在哪些指导意见,以提高二次利用健康数据的研究的透明度。为了找到同行评审的论文,我们检索了PubMed和谷歌学术。为了找到机构文件,我们利用个人专业知识起草了一份卫生组织名单,并搜索了它们的网站。我们对不同类型的研究透明度进行了定量和定性编码:注册、方法报告、结果报告、数据共享和代码共享。我们发现了56份文件,这些文件提供了提高二次利用健康数据的研究透明度的建议,主要涉及研究注册(n = 27)和/或方法报告(n = 39)。只有三份文件对数据共享或代码共享提出了建议。研究注册和方法报告的建议主要以结构化文件的形式出现,如注册模板和报告指南。除了直接针对研究人员的建议外,我们还发现了针对更广泛研究群体的建议,通常是关于如何改善研究基础设施的。很少提到提高透明度的局限性或挑战,这凸显了在为二次利用健康数据的研究提供透明度指导方面需要更多细微差别。