Digital Govt. Collaborative Research: Integration of Data and Interfaces to Enhance Human Understanding of Government Statistics: Toward the National Statistical Knowledge Network

Catherine PlaisantBen Shneiderman马里兰大学巴尔的摩县分校数字政府：合作研究：数据和界面的整合以增强人类对政府统计的理解--面向国家统计知识网络该奖项将支持与几个联邦统计机构的合作研究，以开发更好的统计数据模型，探索SML的使用，开发更好的地图查询工具，并整合其他可用工具来操纵、浏览和可视化表格数据。其目标是为专家用户和新手开发更好的人机界面，提高一般统计素养，并提供对多个联邦机构和其他各级政府机构持有的数据，特别是州和地方数据的无缝访问。

EIA-0129978Catherine PlaisantBen ShneidermanUniversity of Maryland Baltimore CountyDigital Government: Collaborative Research: Integration of Data and Interfaces to Enhance Human Understanding of Government Statistics - Toward the National Statistical Knowledge NetworkThis award will support collaborative research with several Federal statistical agencies to develop better statistical data models, to explore the use of SML, to develop better map-querying tools and to integrate other available tools for manipulating, browsing and visualizing tabular data. The goal is to develop better human/computer interfaces for expert users to novices, to increase general statistical literacy, and to provide seamless access to data held by multiple Federal agencies and agencies at other levels of government, in particular state and local data.