通过标准数据流跟踪数据元素

Alistair Dootson
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引用次数: 4

摘要

有没有想过数据点是从哪里来的?有没有看过一些表格、图表和列表(TFLs),然后想:“我想知道这个数字是怎么来的?”您可能会对数据收集、管理和报告过程中的可追溯性感到疑惑。从哪里开始追踪数据?你在哪里结束?我如何有效地追踪这些数据?本文通过临床试验的数据管理和报告周期来探讨“面包屑路径”。是否有一个简单的解决方案来管理试验中数据的可追溯性?当美国食品药品监督管理局(FDA)找上门来,想要查看流程中各个步骤之间的联系时,你会怎么做?这些问题很快就会得到解答。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracing Data Elements through a Standard Data Flow
AbstractEver wondered where a data point came from? Ever been looking through some Tables, Figures and Listings (TFLs) and thought 'I wonder how this number came to be here?'. Chances are you are wondering about the traceability through your data collection, management, and reporting process. Where do you start tracing the data? Where do you finish? How am I going to trace this data effectively? This paper looks into the 'breadcrumb trail' through the data management and reporting cycle of clinical trials. Is there a simple solution out there to manage the traceability of the data in your trial? What will you do when the FDA come knocking and want to see the links through the steps in your process? These questions will soon be answered.
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