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EAGER: Collaborative Research: Interoperability Testbed ? Assessing a Layered Architecture for Integration of Existing Capabilities

EAGER: Collaborative Research: Interoperability Testbed ? Assessing a Layered Architecture for Integration of Existing Capabilities
EAGER:协作研究:互操作性测试平台?
批准号:
1239603
负责人:
Shaowen Wang
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-04-01 至 2013-03-31

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中文摘要
翻译
该EAGER奖项创建了一个互操作性测试平台,以确定地球科学和环境科学研究的有效分层架构的组成部分。在分层体系结构中,每一层由不同的技术组成,每一层使用不同的交互协议。拟议的项目将检查各种现有技术在跨越当前数据孤岛方面的有效性。这些技术包括数据网格、工作流系统、策略管理系统、web可视化服务和使用各种存储库目录的安全协议。项目目标侧重于开发网络基础设施工具和方法,使地球科学数据存储库能够实现新科学,并更有效地使其数据存储可被发现并可供公众使用。该项目的基本要素包括收集和比较各种方法和现有工具,以检查处理和整合地球科学数据的有效性,以及通过自动化整合各种数据库和数据类型所需的流程。该项目由网络基础设施和地球科学数据管理专家团队领导,采用螺旋软件开发方法。这项工作的更广泛影响包括为科学建设基础设施,以促进地球科学中的数据科学。它还将产生可能适用于地球科学以外领域的结果。这项工作支持了NSF的一项更大的工作,即为一个名为EarthCube的新NSF计划建立一个新的范例,用于开发一个综合的、可互操作的地球科学数据和知识管理系统。
英文摘要
ABSTRACT This EAGER award creates an interoperability test bed to identify the components of an effective layered architecture for geoscience and environmental science research. In a layered architecture, every layer consists of different technologies, each of which uses different interaction protocols. The proposed project will examine a wide variety of existing technologies in terms of their effectiveness in working across present data silos. These technologies include data grids, workflow systems, policy management systems, web visualization services, and security protocols that work with various repository catalogs. Project goals are focused on developing cyberinfrastructure tools and approaches that allow geoscience data repositories to enable new science and more effectively make their data holdings discoverable and available to the public. Essential elements of the project include the collection and comparision of various approaches and existing tools to check effectiveness in handling and integrating geoscience data, and by automating processes needed to integrate various databases and data types. The project is led by a team of experts in cyberinfrastructure and geoscience data management and employs a spiral softwar3ee development approach. Broader impacts of the work include building infrastructure for science in order to facilitate data-enabled science in the geosciences. It will also produce results that are likely to be applicable to fields outside of the geosciences. The effort supports a larger NSF effort to establish a new paradigm in the development of an integrative and interoperable data and knowledge management system for the geosciences for a new NSF initiative called EarthCube.
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