Excavating FAIR Data: the Case of the Multicenter Animal Spinal Cord Injury Study (MASCIS), Blood Pressure, and Neuro-Recovery.
Excavating FAIR Data: the Case of the Multicenter Animal Spinal Cord Injury Study (MASCIS), Blood Pressure, and Neuro-Recovery.
复制标题
DOI：
10.1007/s12021-021-09512-z
复制
发表时间：
2022-01
期刊：
影响因子：
3
通讯作者：
中科院分区：
文献类型：
--
作者：
荟萃分析表明，已发表的文献只代表了生物医学研究中收集的全部数据的一小部分，其中大多数成为未在文献中报告的“暗数据”。暗数据是由于发表偏向于证实研究者假设的新结果和遗漏不证实的数据。发表偏倚导致了科学的不可重复性和从实验室到临床翻译的失败。通过使暗数据可查找、可访问、可互操作和可重用（FAIR）来共享暗数据，可以通过增加透明度和支持原始研究生命周期之外的数据驱动发现来减轻不可复制科学的负担。我们通过恢复多中心动物脊髓损伤研究（MASCIS）的原始原始数据来说明暗数据共享的可行性。MASCIS是一项由美国国立卫生研究院资助的多地点临床前药物试验，于20世纪90年代进行，测试了脊髓损伤（SCI）后几种治疗方法的疗效。最初的药物治疗并没有产生明确的阳性结果，MASCIS数据在盒子里保存了20多年。本研究的目的是独立证实已发表的机器学习研究结果，即围手术期血压是脊髓损伤神经运动结果的主要预测因子（Nielson等人，）。我们对来自MASCIS的1125只大鼠的数据进行了恢复、数字化和整理。分析表明，重度脊髓损伤时的高围手术期血压与较差的健康状况和较差的神经运动结果相关，而中度脊髓损伤时的低围手术期血压与较差的健康状况和较差的神经运动结果相关。这些发现证实并扩展了先前的结果，即狭窄的血压控制窗口优化了结果，并证明了恢复暗数据对评估结果的可重复性的价值，这对精确治疗方法具有重要意义。在线版本包含补充资料，网址为10.1007/s12021-021-09512-z。
Meta-analyses suggest that the published literature represents only a small minority of the total data collected in biomedical research, with most becoming ‘dark data’ unreported in the literature. Dark data is due to publication bias toward novel results that confirm investigator hypotheses and omission of data that do not. Publication bias contributes to scientific irreproducibility and failures in bench-to-bedside translation. Sharing dark data by making it Findable, Accessible, Interoperable, and Reusable (FAIR) may reduce the burden of irreproducible science by increasing transparency and support data-driven discoveries beyond the lifecycle of the original study. We illustrate feasibility of dark data sharing by recovering original raw data from the Multicenter Animal Spinal Cord Injury Study (MASCIS), an NIH-funded multi-site preclinical drug trial conducted in the 1990s that tested efficacy of several therapies after a spinal cord injury (SCI). The original drug treatments did not produce clear positive results and MASCIS data were stored in boxes for more than two decades. The goal of the present study was to independently confirm published machine learning findings that perioperative blood pressure is a major predictor of SCI neuromotor outcome (Nielson et al.,). We recovered, digitized, and curated the data from 1125 rats from MASCIS. Analyses indicated that high perioperative blood pressure at the time of SCI is associated with poorer health and worse neuromotor outcomes in more severe SCI, whereas low perioperative blood pressure is associated with poorer health and worse neuromotor outcome in moderate SCI. These findings confirm and expand prior results that a narrow window of blood-pressure control optimizes outcome, and demonstrate the value of recovering dark data for assessing reproducibility of findings with implications for precision therapeutic approaches. The online version contains supplementary material available at 10.1007/s12021-021-09512-z.
登录
查看更多内容
影响因子：
2
作者：
Catapano, Joshua Stephen;Hawryluk, Gregory William John;Manley, Geoffrey
通讯作者：
Manley, Geoffrey
影响因子：
82.9
作者：
Crowe, MJ;Bresnahan, JC;Beattie, MS
通讯作者：
Beattie, MS
影响因子：
2.2
作者：
Biering-Sorensen, F
通讯作者：
Biering-Sorensen, F
影响因子：
5.3
作者：
Beattie, MS;Bresnahan, JC;Young, W
通讯作者：
Young, W
影响因子：
8.3
作者：
Fisher M;Feuerstein G;Howells DW;Hurn PD;Kent TA;Savitz SI;Lo EH;STAIR Group
通讯作者：
STAIR Group