EarthCube Community Workshop: Designing A Roadmap for Workflows in Geosciences
EarthCube Community Workshop: Designing A Roadmap for Workflows in Geosciences
批准号:
1238061
负责人:
Marlon Pierce
金额:
$1.5万
依托单位:
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
EarthCube专注于社区驱动的开发,用于地球和环境科学数据的集成和可互操作的知识管理系统。通过利用合作,而不是竞争,就像创建互联网和开源软件的过程一样,EarthCube将攻击顽固和持久的问题,这些问题迄今为止阻碍了对分布在不同数据系统中的不同地球科学数据和数据类型的大量存储的充分访问和分析,可视化和互操作性。该奖项资助了一系列广泛的、包容性的社区互动,以收集足够的信息和需求,为EarthCube开发中的关键能力(工作流)创建路线图,这是NSF的一项重大新计划。EarthCube环境中的工作流,以及一般的网络基础设施,涵盖了广泛的主题,包括分布式执行管理、将多个模型耦合到复合应用程序、将广泛的数据源与处理集成,以及从原始数据创建精细的数据产品。在评估和创建关于该功能(即工作流)的最佳前进方式的社区共识方面,资助工作的一个关键好处是能够记录建模中使用的数据的来源,并重现模型和数据支持的科学结果。受资助的研讨会和信息收集活动将向所有感兴趣的各方开放,由网络基础设施开发人员、计算机科学家和地球科学家组成的多元化专家团队领导。这项工作的更广泛影响包括可能适用于所有科学的方法、协议和标准的趋同。它们还包括促进通常彼此之间不互动的社区之间的密切互动,并将它们集中在创建地球科学数据和知识管理新范式的共同目标上。
英文摘要
EarthCube is focused on community-driven development of an integrated and interoperable knowledge management system for data in the geo- and environmental sciences. By utilizing a cooperative, as opposed to competitive, process like that which created the Internet and Open Source software, EarthCube will attack the recalcitrant and persistent problems that so far have prevented adequate access to and the analysis, visualization, and interoperability of the vast storehouses of disparate geoscience data and data types residing in distributed and diverse data systems. This awards funds a series of broad, inclusive community interactions to gather adequate information and requirements to create a roadmap for a critical capability (workflow) in the development of EarthCube, a major new NSF initiative. Workflow in the context of EarthCube, and cyberinfrastructure in general, encompasses a broad range of topics including distributed execution management, the coupling of multiple models into composite applications, the integration of a wide range of data sources with processing, and the creation of refined data products from raw data. A key benefit of the funded work in terms of evaluating and creating community consensus on the best way forward for this capability (i.e., workflow) is the ability to document the provenance of data used in modeling and reproduce model and data-enabled scientific results. The funded workshop and information collecting activity will be open to all interested parties and is being led by a diverse and expert team of cyberinfrastructure developers, computer scientists, and geoscientists. Broader impacts of the work include converging on approaches, protocols, and standards that may be applicable across the sciences. They also include the fostering of close interaction between communities that do not commonly interact with one another and focusing them on the common goal of creating a new paradigm in data and knowledge management in the geosciences.
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