Digital Government: Collecting and Using Geospatial Data in the Field: An Extensible Framework and Testbed

nusser， Sarah MIowa州立大学数字政府：在现场收集和使用地理空间数据：一个可扩展的框架和测试平台这项工作将构思、开发和测试一个可扩展的框架，以支持在现场收集和使用地理空间数据。合作的联邦机构包括人口普查局、美国地质调查局和美国农业部的几个机构。拟议的活动旨在实现五个关键目标：开发一个模型，对基础设施、工具和关键功能进行文档化和形式化，以支持灵活和可扩展的现场数据收集系统。对计算机科学工具和相关信息技术进行研究，以便将数字地理空间数据充分整合到收集过程中。对实现系统所需的基础设施组件进行研究，以一种限制系统复杂性的方式，从该领域用户的角度出发。调查新兴的现场数据收集技术，以确定这些新接口如何改变地理空间数据的使用。通过开发与机构数据收集设置相对应的原型组件和测试平台，探索应用程序环境中的框架模型和研究开发。需要六个方面的发展来实现研究目标：1。用户驱动的框架模型；2 .用于野外使用的异构地理空间数据合并的概念框架。一个多代理系统，支持在现场使用和收集地理空间数据所需的工具；可互操作的搜索和发现机制，用于准备好的、现有的和潜在未知的数据源；面向对象的现场数据采集环境仓库设计；评价新出现的实地技术及其对用户活动的影响。

EIA-9983289Nusser, Sarah MIowa State UniversityDigital Government: Collecting and Using Geospatial Data in the Field: An Extensible Framework and TestbedThis work will conceive, develop, and test an extensible framework to support the collection and use of geospatial data in the field. Partner Federal agencies include the Bureau of the Census, the US Geological Survey, and several agencies of the US Department of Agriculture.The proposed activities are designed to meet five key objectives:1. Develop a model documenting and formalizing the infrastructure, tools, and key capabilities required to support a flexible and extensible field data collection system.2. Conduct research on computer science tools and associated information technologies required to fully integrate digital geospatial data into the collection process.3. Conduct research on infrastructure components that are needed to implement the system in a manner that limits the complexity of the system from the vantagepoint of the user in the field.4. Investigate emerging field data collection technologies to determine how the usage of geospatial data is transformed by these new interfaces.5. Explore the framework model and research developments in an application environment by developing prototype components and testbeds that correspond to agency data collection settings.Six developments will be needed to address the research objectives:1. a user-driven framework model,2. a conceptual framework for conflation of heterogeneous geospatial data for field use,3. a multi-agent system to support tools required to use and collect geospatial data in the field,4. interoperable searching and discovery mechanism for prepared, existing, and potentially unknown sources of data,5. object-oriented warehouse designs for the field data collection environment, and6. evaluations of emerging field technologies and their impact on user activities.