CEO:P--A Prototype System for Multi-Disciplinary Shared Cyberinfrastructure: Chesapeake Bay Environmental Observatory (CBEO)

这个项目将开发一个网络基础设施原型(切萨皮克湾环境观测站，CBEO)，以提供对一系列已建立的监测数据库的综合访问，以及切萨皮克湾水动力模型的流动数据源和历史模拟。拟议工作利用并扩展了为其他观测站网络开发的CI组成部分、元数据标准和本体论，包括四项相互依存的工作：原型试验台工作(CBEO：T)、基于地球的节点(CBEO：N)、利用CBEO：T和CBEO：N解决系统中与缺氧有关的科学问题(CBEO：S)以及宣传和教育部分(CBEO：E)。PIs试图解决与切萨皮克湾缺氧有关的科学问题，特别是通过将机械模型的预测与现场观测相结合来提高对以下过程的理解：(2)河流流量和缺氧的年际共同变化，以及(3)调节海湾底层水域耗氧和缺氧的有机质源和汇之间的区域和季节平衡。将研究数据整合的新方法，并在几个现有天文台工作所使用的受控词汇和元数据标准之间建立“交叉通道”，以及节点开发小组将进行的本体论概念映射，这将有助于其他网络的并行工作。该项目将通过与SEA Grant、NSF的COSEE-MA和汉普顿大学的MAST多元文化项目合作提供教育机会。计划让多文化学生和一名K-12教师直接参与。这项工作将通过提供强大的新方法来整合和可视化切萨皮克湾的数据和信息，从而使当地利益攸关方受益，并将对新出现的环境观测网络和倡议开发的工具和概念进行验证和实地测试，从而为面临类似问题的其他网络的传播与信息发展提供信息。

0618986GrossThis project will develop a cyberinfrastructure prototype (the Chesapeake Bay Environmental Observatory, CBEO) to provide integrated access to a broad array of established monitoring databases, as well as streaming data sources and historical simulations from hydrodynamic models for Chesapeake Bay. The proposed work leverages and extends CI components, metadata standards, and ontologies developed for other observatory networks and includes four interdependent efforts: a prototype test bed effort (CBEO:T), a GEON-based node (CBEO:N), use of CBEO:T and CBEO:N to address science questions related to hypoxia in the system (CBEO:S) and an outreach and education component (CBEO:E). Scientific questions the PIs seek to address relate to hypoxia in Chesapeake Bay, specifically to improve understanding of (1) the processes causing hypoxia by reconciling predictions from mechanistic models with field observations; (2) inter-annual co-variation of river flows and hypoxia, and (3) regional and seasonal balances between sources and sinks of organic matter that regulate oxygen consumption and hypoxia in bottom waters of the Bay. Novel approaches to data integration will be studied, and the development of "cross-walks" between controlled vocabularies and metadata standards used by several existing observatory efforts plus ontological concept mapping to be conducted by the node development team will contribute to parallel efforts in other networks. The project will provide educational opportunities through partnerships with Sea Grant, NSF's COSEE-MA, and Hampton University's MAST multi-cultural program. Direct participation of multicultural students and a K-12 teacher are planned. The work will benefit a wide array of local stakeholders by providing powerful new ways to integrate and visualize data and information about Chesapeake Bay and will provide validation and field testing of tools and concepts developed by emerging environmental observatory networks and initiatives, thus serving to inform CI development in other networks facing similar problems.