EAGER: Readiness of Disciplinary Data Systems for Cross-Domain Interoperability within a Standards-Based EarthCube Reference Framework

这一热切的奖项促进了一种新的范例，即为NSF的一项名为EarthCube的新倡议为地球科学开发一个综合和可互操作的数据和知识管理系统。这个项目由来自地球科学、网络基础设施、工程和计算机科学领域的专家团队领导，重点是使用一种协作的、而不是竞争的方法，就实现包含广泛分布在许多大小数据存储库中的不同数据类型的数据库的互操作性的最适当手段达成社区共识。为实现这一目标，该项目将为地球科学数据的信息共享创建可互操作基础设施组件的登记册；确定这类系统的用户要求；并使用联合目录、交叉链接词汇、共同数据服务和共享模型语义执行概念验证、跨领域互操作性工作流程。该项目的独特之处之一是所采用的方法采用了包容的、社区驱动的、协作的方法。它还吸引了来自NSF资助的大多数主要地球科学数据设施的个人，创建了一个亟需的论坛，以交流工具、服务和最佳实践，从而使研究资金投资获得更好的回报。该项目的更广泛影响包括侧重于让学生和年轻研究人员参与跨领域的数据密集型研究，该项目的影响可能会交叉到其他科学领域，以及一些核心项目成员来自科学和工程领域代表性不足的群体。另一个更广泛的影响是一个国际组成部分，吸引英国科学家作为核心项目团队的成员。

This EAGER award promotes 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. Led by a team of experts from across the fields of geoscience, cyberinfrastructure, engineering, and computer science this project focuses on using a collaborative, as opposed to competitive, method to create community consensus on the most appropriate means to realize interoperability of databases containing disparate data types that are widely distributed among many large and small data repositories. To achieve this goal, the project will create registries of interoperable infrastructure components for information-sharing of geoscience data; define user requirements for such a system; and carry out proof-of-concept, cross-domain interoperability workflows using federated catalogs, cross-linked vocabularies, common data services, and shared model semantics. One of the unique aspects of this project is that the approach employed utilizes an inclusive, community-driven, collaborative approach. It also engages individuals from most of the major NSF-funded geoscience data facilities, creating a much needed forum to exchange tools, services, and best practices allowing for a better return on research money investment. Broader impacts of the project include a focus on engaging students and young researchers in cross-domain data-intensive research, the likelihood that impacts of the project will crossover to other science domains, and the fact that some core project members were from under-represented groups in science and engineering. An additional broader impact is an international component that engages UK scientists as members of the core project team.