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Autogeneration of Database Applications from XML Metadata for Web-Based Data Entry

机译:来自XML元数据的数据库应用程序自动化基于Web的数据输入

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In a biomedical research environment, there is frequently a need for dynamically generated Web interfaces for patient-related data that can easily accommodate changes in the underlying data model by altering metadata rather than changing the interface code. In this paper, we present AutoGen, a tool developed at the Heart and Vascular Institute (HVI) of Cleveland Clinic for autogenerating the database schema and data-entry-specific Web front end from XML metadata. To specify metadata, we established a tested and proven methodology for systematically capturing data and data entry requirements and encapsulating them into standard XML schema. During the development process, we created a successful approach to incorporating model-view-controller and template technologies for implementing and optimizing AutoGen. Additionally, we conducted a cost-benefit analysis of AutoGen during its first 20 months of use within HVI. Results from both the development perspective and practical usage show that AutoGen and its associated metadata specification method provide a unique approach that can efficiently and effectively address the data entry needs of similar biomedical research environments.
机译:在生物医学研究环境中,通常需要用于患者相关数据的动态生成的Web接口,该数据可以通过改变元数据而不是改变接口代码来容易地容纳底层数据模型的变化。在本文中,我们呈现Autogen,该工具在克利夫兰诊所的心脏和血管研究所(HVI)开发的工具,用于从XML元数据自动化数据库模式和数据输入特定的网前端。要指定元数据,我们建立了一个测试和经过证明的方法,用于系统地捕获数据和数据输入要求,并将它们封装成标准XML模式。在开发过程中,我们创建了一种成功的方法来结合模型 - 视图控制器和模板技术,以实现和优化AutoGen。此外,我们在HVI中使用的前20个月内对Autogen进行了成本效益分析。来自发展的视角和实际使用的结果表明,AutoGen及其相关的元数据规范方法提供了一种独特的方法,可以有效地解决类似的生物医学研究环境的数据输入需求。

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