通过创新使用开放获取技术，在运筹学中实现高效、质量有保证的数据采集。
Efficient, quality-assured data capture in operational research through innovative use of open-access technology.
作者信息
Kumar A M V, Naik B, Guddemane D K, Bhat P, Wilson N, Sreenivas A N, Lauritsen J M, Rieder H L
机构信息
International Union Against Tuberculosis and Lung Disease (The Union), South-East Asia Regional Office, New Delhi, India.
World Health Organization Country Office for India, New Delhi, India.
出版信息
Public Health Action. 2013 Mar 21;3(1):60-2. doi: 10.5588/pha.13.0004.
Ensuring quality of data during electronic data capture has been one of the most neglected components of operational research. Multicentre studies are also challenged with issues about logistics of travel, training, supervision, monitoring and troubleshooting support. Allocating resources to these issues can pose a significant bottleneck for operational research in resource-limited settings. In this article, we describe an innovative and efficient way of coordinating data capture in multicentre operational research using a combination of three open access technologies-EpiData for data capture, Dropbox for sharing files and TeamViewer for providing remote support.
在电子数据采集过程中确保数据质量一直是运筹学中最被忽视的环节之一。多中心研究还面临着旅行、培训、监督、监测和故障排除支持等后勤问题的挑战。为这些问题分配资源可能会成为资源有限环境下运筹学的一个重大瓶颈。在本文中，我们描述了一种创新且高效的方法，用于在多中心运筹学中协调数据采集，该方法结合了三种开放获取技术——用于数据采集的EpiData、用于文件共享的Dropbox以及用于提供远程支持的TeamViewer。
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