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

该创新项目开展了探索性研究，应用语义技术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。这项研究的目标是开发一个原型，涉及一些主要的nsf资助的数据管理中心的数据收集：哥伦比亚大学拉蒙特·多尔蒂地球观测站的IEDA和R2R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和其他相关数据集收集的数据更容易和广泛地访问和提供给研究人员和公众。将采用关联开放数据方法。这种方法的基本元素包括使用唯一的数据标识符来标记、链接和解引用特定的数据和详细信息。一旦初始关系对齐，新系统可以自动推断数据和数据位置之间的新关系。目标是将最初目标数据存储库中已有的数据进行语义整合，从而使该方法可以扩展到整个EarthCube，这是NSF为21世纪开发地球科学知识和数据管理系统的一项新倡议。这个项目是由来自马里兰州、俄亥俄州、纽约州和马萨诸塞州的海洋科学研究人员、计算机科学家和海洋数据管理中心合作完成的。这项工作的更广泛影响包括为科学建设基础设施和改善公众对nsf资助的数据收集的可访问性。

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.