EAGER: Collaborative Research: EarthCube Building Blocks, Leveraging Semantics and Linked Data for Geoscience Data Sharing and Dis covery

EAGER：协作研究：EarthCube 构建模块，利用语义和关联数据实现地球科学数据共享和发现

• 批准号: 1354693
• 负责人: Timothy Finin
• 金额: $ 7.5万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1354693&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; EarthCube; Building

This innovative project carries out exploratory research applying semantic technologies to support data representation, discovery, sharing, and integration between disparate geoscience data types and structures. It is a risky, high pay-off activity that, if successful, has the potential to transform our ability to discover, access, and use geoscience data in ways not possible at present. The goal of this research is to develop a prototype involving the data collections of some major NSF-funded Data Management Centers: IEDA and R2R at the Lamont Doherty Earth Observatory at Columbia University and BCO-DMO at the Woods Hole Oceanographic Institution. The effort is focused on making NSF-collected data for the ocean sciences and other associated datasets more easily and widely accessible and available to researchers and the public. Linked Open Data methodologies will be employed. Essential elements of this approach include the use of unique data identifiers to mark, link-to, and dereference specific data and details. Once the intial relationships are aligned, the new system can automatically infer new relationships between data and data locations. Goals will be to semantically integrate the data already available from the initially targeted data reposotiries in such a way that the approach can be scaled up to the whole of EarthCube, a new NSF initiative to develop a geoscience knowledge and data mangement system for the 21st Century. This project is a collaboration between ocean science resaerchers, computer scientists, and ocean data management centers from Maryland, Ohio, New York, and Massachusetts. Braoder impacts of the work include building infrastructure for science and improving public accessiblity to NSF-funded data collections.

这个创新项目进行探索性研究，应用语义技术来支持不同地球科学数据类型和结构之间的数据表示，发现，共享和集成。 这是一项高风险、高回报的活动，如果成功，有可能以目前不可能的方式改变我们发现、获取和使用地球科学数据的能力。本研究的目标是开发一个涉及一些主要NSF资助的数据管理中心的数据收集的原型：哥伦比亚大学拉蒙多尔蒂地球观测站的IEDA和R2 R以及伍兹霍尔海洋研究所的BCO-DMO。这项工作的重点是使国家科学基金会为海洋科学收集的数据和其他相关数据集更容易和更广泛地提供给研究人员和公众。将采用链接的开放数据方法。 这种方法的基本要素包括使用唯一数据标识符来标记、链接和取消引用特定数据和细节。 一旦初始关系对齐，新系统就可以自动推断数据和数据位置之间的新关系。目标将是语义集成的数据已经从最初的目标数据reposotiries在这样一种方式，该方法可以扩大到整个地球立方体，一个新的NSF倡议，开发一个地球科学知识和数据管理系统的21世纪世纪。该项目是来自马里兰州、俄亥俄州、纽约和马萨诸塞州的海洋科学研究者、计算机科学家和海洋数据管理中心之间的合作。这项工作的更大影响包括建立科学基础设施和改善公众对国家科学基金会资助的数据收集的可访问性。