Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, United States of America.
Department of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
PLoS One. 2024 Apr 2;19(4):e0300701. doi: 10.1371/journal.pone.0300701. eCollection 2024.
Space medicine is a vital discipline with often time-intensive and costly projects and constrained opportunities for studying various elements such as space missions, astronauts, and simulated environments. Moreover, private interests gain increasing influence in this discipline. In scientific disciplines with these features, transparent and rigorous methods are essential. Here, we undertook an evaluation of transparency indicators in publications within the field of space medicine. A meta-epidemiological assessment of PubMed Central Open Access (PMC OA) eligible articles within the field of space medicine was performed for prevalence of code sharing, data sharing, pre-registration, conflicts of interest, and funding. Text mining was performed with the rtransparent text mining algorithms with manual validation of 200 random articles to obtain corrected estimates. Across 1215 included articles, 39 (3%) shared code, 258 (21%) shared data, 10 (1%) were registered, 110 (90%) contained a conflict-of-interest statement, and 1141 (93%) included a funding statement. After manual validation, the corrected estimates for code sharing, data sharing, and registration were 5%, 27%, and 1%, respectively. Data sharing was 32% when limited to original articles and highest in space/parabolic flights (46%). Overall, across space medicine we observed modest rates of data sharing, rare sharing of code and almost non-existent protocol registration. Enhancing transparency in space medicine research is imperative for safeguarding its scientific rigor and reproducibility.
空间医学是一门至关重要的学科,其项目通常需要大量的时间和资金,并且研究空间任务、宇航员和模拟环境等各种因素的机会有限。此外,私人利益在这一学科中获得了越来越大的影响力。在具有这些特点的科学学科中,透明和严格的方法是必不可少的。在这里,我们评估了空间医学领域出版物中的透明度指标。对空间医学领域内符合 PubMed Central 开放获取 (PMC OA) 标准的文章进行了元流行病学评估,以评估代码共享、数据共享、预先登记、利益冲突和资金的情况。使用 rtransparent 文本挖掘算法进行文本挖掘,并对 200 篇随机文章进行了手动验证,以获得更正后的估计值。在纳入的 1215 篇文章中,有 39 篇(3%)共享了代码,258 篇(21%)共享了数据,10 篇(1%)进行了预先登记,110 篇(90%)包含利益冲突声明,1141 篇(93%)包含资金声明。经过手动验证后,代码共享、数据共享和登记的更正估计值分别为 5%、27%和 1%。当仅限于原始文章时,数据共享率为 32%,在空间/抛物线飞行中最高(46%)。总体而言,在空间医学领域,我们观察到数据共享率适中,代码共享率罕见,协议登记几乎不存在。提高空间医学研究的透明度对于确保其科学严谨性和可重复性至关重要。