ORNIS: A Community Effort to Build an Integrated, Distributed, Enriched, and Error-checked ORNithological Information System

ORNIS：社区努力建立一个集成的、分布式的、丰富的和错误检查的 ORNithological 信息系统

• 批准号: 0345448
• 负责人: Townsend Peterson
• 金额: $ 151.27万
• 依托单位: University of Kansas Center for Research Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0345448&HistoricalAwards=false
• 关键词: ORNIS; Community; Effort; Build; Integrated

Proposal # 0345448.PI: PetersonORNIS: A Community Effort to Build an Integrated, Distributed, Enriched, and Error-checked ORNithological Information SystemThe University of Kansas has been granted an award to build an integrated database system for the rapid integration of specimen records (including vocal recordings, egg and nest holdings) of avian species archived in biocollections held in North American institutions. The system will use globally accepted data exchange standards and internet protocols to eventually make up to 3.9 million collections available to the global biodiversity community and to allow the data from those collections to be shared and combined with data from all over the world. The exceptional merits of the system lie in both the informatics and community aspects of the project. There is broad community buy-in from 29 institutions in North America. The use of globally compatible standards and protocols (e.g. DiGIR) will allow universal access (e.g. through GBIF & IT IS and other potals). There is also broad collaboration with similar projects based on other taxa (e.g. MaNIS, HerpNET & FishNET) in collaborative georeferencing as well as the integration and enhancement of advanced machine assisted georeferencing techniques. Finally, the project will be using innovative data mining and cleansing techniques to greatly improve the quality of the database, all in a high throughput context.

提案# 0345448.PI：PetersonORNIS：社区努力建立一个集成的、分布式的、丰富的和错误检查的ORNithological信息系统堪萨斯大学已获得奖项，建立一个集成的数据库系统，用于快速集成标本记录（包括北美机构生物收藏中存档的鸟类物种的声音录音、蛋和巢藏品。 该系统将使用全球公认的数据交换标准和互联网协议，最终向全球生物多样性界提供多达 390 万个集合，并允许这些集合中的数据共享并与世界各地的数据相结合。该系统的卓越优点在于该项目的信息学和社区方面。 北美 29 家机构得到了广泛的社区支持。使用全球兼容的标准和协议（例如 DiGIR）将允许普遍访问（例如通过 GBIF 和 IT IS 以及其他网络）。 在协作地理配准以及先进机器辅助地理配准技术的集成和增强方面，还与基于其他类群（例如 MaNIS、HerpNET 和 FishNET）的类似项目进行了广泛的合作。 最后，该项目将使用创新的数据挖掘和清理技术来大大提高数据库的质量，所有这些都在高吞吐量的背景下进行。