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

提案# 0345448.PI：PetersonORNIS：社区努力建立一个集成的，分布式的，丰富的，错误检查的鸟类学信息系统堪萨斯大学已被授予一个奖项，建立一个集成的数据库系统，用于快速集成鸟类物种的标本记录（包括声音记录，蛋和巢持有），存档在北美机构的生物收藏。 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390万个收集数据，并允许这些收集数据与世界各地的数据共享和合并。该系统的特殊优点在于该项目的信息学和社区方面。 北美有29个机构广泛接受社区的支持。使用全球兼容的标准和协议（如DiGIR）将允许普遍访问（如通过GBIF IT IS和其他门户网站）。 还与基于其他分类群（例如MaNIS、HerpNET FishNET）的类似项目在协作地理参照以及集成和增强先进的机器辅助地理参照技术方面进行了广泛合作。 最后，该项目将使用创新的数据挖掘和清理技术，大大提高数据库的质量，所有这些都是在高吞吐量的情况下进行的。

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.