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首页> 外文期刊>Journal of the American Medical Informatics Association : >Harvest: An open platform for developing web-based biomedical data discovery and reporting applications
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Harvest: An open platform for developing web-based biomedical data discovery and reporting applications

机译：Harvest：一个开放的平台，用于开发基于Web的生物医学数据发现和报告应用程序

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摘要

Biomedical researchers share a common challenge of making complex data understandable and accessible as they seek inherent relationships between attributes in disparate data types. Data discovery in this context is limited by a lack of query systems that efficiently show relationships between individual variables, but without the need to navigate underlying data models. We have addressed this need by developing Harvest, an opensource framework of modular components, and using it for the rapid development and deployment of custom data discovery software applications. Harvest incorporates visualizations of highly dimensional data in a web-based interface that promotes rapid exploration and export of any type of biomedical information, without exposing researchers to underlying data models. We evaluated Harvest with two cases: clinical data from pediatric cardiology and demonstration data from the OpenMRS project. Harvest's architecture and public open-source code offer a set of rapid application development tools to build data discovery applications for domain-specific biomedical data repositories. All resources, including the OpenMRS demonstration, can be found at http://harvest.research.chop.edu.
机译：生物医学研究人员在寻求不同数据类型中属性之间的固有关系时，面临着使复杂数据易于理解和访问的共同挑战。在这种情况下，数据发现受到查询系统的限制，这些查询系统无法有效显示各个变量之间的关系，但无需导航基础数据模型。我们通过开发Harvest（一种模块化组件的开源框架）并将其用于快速开发和部署自定义数据发现软件应用程序来满足此需求。 Harvest在基于Web的界面中结合了高维数据的可视化功能，该功能可促进快速探索和导出任何类型的生物医学信息，而无需让研究人员接触基础数据模型。我们用两种情况评估了Harvest的情况：小儿心脏病学的临床数据和OpenMRS项目的示范数据。 Harvest的体系结构和公开的开源代码提供了一组快速的应用程序开发工具，可以为特定领域的生物医学数据存储库构建数据发现应用程序。所有资源，包括OpenMRS演示，都可以在http://harvest.research.chop.edu找到。

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