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

建议#0345448.PI：PetersonORNIS：社区努力建立一个综合的、分布式的、丰富的和错误检查的鸟类学信息系统堪萨斯大学已经获奖，以建立一个综合数据库系统，用于快速整合北美机构举行的生物收集中存档的鸟类标本记录(包括声音记录、蛋和巢的保存)。该系统将使用全球接受的数据交换标准和互联网协议，最终向全球生物多样性社区提供多达390万个集合，并允许这些集合中的数据与来自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。有来自北美29家机构的广泛社区买入。使用全球兼容的标准和协议(例如DiGIR)将允许普遍接入(例如通过GBIF和IT IS及其他设备)。在协作地理参考以及先进的机器辅助地理参考技术的整合和加强方面，还与基于其他分类群的类似项目(如MANIS、HerpNet和amp；Fish net)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，以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.