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
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
中文摘要
这个渴望获奖的奖项创建了一个互操作性试验台,以确定用于地球科学和环境科学研究的有效分层体系结构的组件。在分层体系结构中,每一层都由不同的技术组成,每种技术使用不同的交互协议。拟议的项目将审查各种现有技术在跨现有数据孤岛工作方面的有效性。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,使地球科学数据储存库能够支持新的科学,并更有效地使其持有的数据可供公众发现和使用。该项目的基本内容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,并使整合各种数据库和数据类型所需的过程自动化。该项目由网络基础设施和地球科学数据管理方面的专家团队领导,并采用螺旋式软件开发方法。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的领域的结果。这一努力支持美国国家科学基金会为一项名为EarthCube的新倡议建立一个新的范例,为地球科学开发一个综合的、可互操作的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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会议论文
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