Hanauer David A, Hruby Gregory W, Fort Daniel G, Rasmussen Luke V, Mendonça Eneida A, Weng Chunhua
Dept. of Pediatrics, University of Michigan, Ann Arbor, MI ; School of Information, University of Michigan, Ann Arbor, MI.
Dept. of Biomedical Informatics, Columbia University, New York, NY.
AMIA Annu Symp Proc. 2014 Nov 14;2014:616-25. eCollection 2014.
Many academic medical centers have aggregated data from multiple clinical systems into centralized repositories. These repositories can then be queried by skilled data analysts who act as intermediaries between the data stores and the research teams. To obtain data, researchers are often expected to complete a data request form. Such forms are meant to support record-keeping and, most importantly, provide a means for conveying complex data needs in a clear and understandable manner. Yet little is known about how data request forms are constructed and how effective they are likely to be. We conducted a content analysis of ten data request forms from CTSA-supported institutions. We found that most of the forms over-emphasized the collection of metadata that were not considered germane to the actual data needs. Based on our findings, we provide recommendations to improve the quality of data request forms in support of clinical and translational research.
许多学术医疗中心已将来自多个临床系统的数据汇总到中央存储库中。然后,熟练的数据分析师可以查询这些存储库,他们充当数据存储与研究团队之间的中介。为了获取数据,研究人员通常需要填写数据请求表。此类表格旨在支持记录保存,最重要的是,提供一种以清晰易懂的方式传达复杂数据需求的方法。然而,对于数据请求表是如何构建的以及它们可能有多有效,人们知之甚少。我们对来自CTSA支持机构的十份数据请求表进行了内容分析。我们发现,大多数表格过度强调收集与实际数据需求无关的元数据。基于我们的研究结果,我们提出了一些建议,以提高数据请求表的质量,以支持临床和转化研究。