EarthCube RCN for Marine Ecological Time Series (METS)

该项目将支持协调工作，将参与者以大小组和小组的形式聚集在一起，以促进必要的对话，以开发可查找、可扩展、可互操作和可重用（FAIR）的数据解决方案和实践。该项目将包括一个建立共识讲习班和METS数据工作组，以制定供METS社区采用的数据模型的参考实施方案;建立区域METS用户网络和一个扩大用户讲习班，以确定更广泛的数据最终用户的需要以及满足这些需要的相关数据接口和工具;和一个数据黑客，以建立摄取，分析和整合METS数据与其他学科和跨学科数据的能力，以加速科学发现。该项目将为FAIR METS数据模型发展社区共识。METS RCN将利用海洋碳和生物地球化学（OCB）项目办公室丰富的海洋学协调和社区建设经验和工作人员能力，以及生物和化学海洋学数据管理办公室（BCO-DMO）的基础设施，专业知识和广泛的METS数据处理经验，沿着RCN指导委员会，该委员会包括海洋学，数据科学，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project will support coordination efforts that bring together participants in large- and small group formats to foster the necessary dialog to develop Findable, Accessible, Interoperable, and Reusable (FAIR) data solutions and practices. The project will include a Consensus Building Workshop and METS Data Working Group to develop reference implementations of a data model for adoption by the METS community; formation of regional METS user networks and a Broadening Users Workshop to identify the needs of a broader range of data end users and associated data interfaces and tools to meet those needs; and a Data Hackathon to build capacity to ingest, analyze, and integrate METS data with other disciplinary and cross-disciplinary data to accelerate scientific discovery.This project will develop community consensus for a FAIR METS data model. The METS RCN will leverage the wealth of oceanographic coordination and community building experience and staff capacity of the Ocean Carbon and Biogeochemistry (OCB) Project Office and the infrastructure, expertise, and extensive METS data handling experience of the Biological and Chemical Oceanography Data Management Office (BCO-DMO), along with an RCN Steering Committee that comprises expertise in the fields of oceanography, data science, earth system models, statistics, and data synthesis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.