Harvest: an open platform for developing web-based biomedical data discovery and reporting applications.
Harvest: an open platform for developing web-based biomedical data discovery and reporting applications.
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Harvest：一个用于开发基于网络的生物医学数据发现和报告应用程序的开放平台。
DOI：
10.1136/amiajnl-2013-001825
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
White,PeterS
中科院分区：
文献类型：
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作者：
Pennington,JeffreyW;Ruth,Byron;Italia,MichaelJ;Miller,Jeffrey;Wrazien,Stacey;Loutrel,JenniferG;Crenshaw,EBryan;White,PeterS
生物医学研究人员面临着一个共同的挑战，即当他们寻求不同数据类型中属性之间的内在关系时，如何使复杂的数据变得可理解和可访问。这种情况下的数据发现受到缺乏查询系统的限制，这些查询系统可以有效地显示各个变量之间的关系，但不需要导航底层数据模型。我们通过开发Harvest来满足这一需求，Harvest是一个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。Harvest在基于Web的界面中整合了高维数据的可视化，促进了任何类型生物医学信息的快速探索和导出，而无需将研究人员暴露于底层数据模型。我们用两种情况评估了Harvest：Harvest的架构和公开的开源代码提供了一套快速的应用程序开发工具，用于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上找到
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 developingHarvest, an open-source framework of modular components, and using it for the rapid development and deployment of custom data discovery software applications.Harvestincorporates 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 evaluatedHarvestwith two cases: clinical data from pediatric cardiology and demonstration data from the OpenMRS project.Harvest'sarchitecture 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