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

EIA-9983289 Nusser，Sarah MIowa State University《数字政府：在现场收集和使用地理空间数据：可扩展框架和测试》这项工作将构思、开发和测试一个支持现场地理空间数据收集和使用的可扩展框架。联邦合作机构包括美国人口普查局、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：1.开发一个模型，记录和规范支持灵活和可扩展的田间数据收集系统所需的基础设施、工具和关键能力。研究将数字地理空间数据完全纳入收集过程所需的计算机科学工具和相关信息技术。从现场用户的角度出发，对实施系统所需的基础设施组件进行研究，以限制系统的复杂性。调查新出现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试验台来探索应用环境中的框架模型和研究发展。将需要六个开发来满足研究目标：1.用户驱动的框架模型，2.用于合并外地使用的不同地理空间数据的概念性框架，3.支持在外地使用和收集地理空间数据所需工具的多代理系统，4.为准备的、现有的和潜在的未知的数据源提供可互操作的搜索和发现机制，5.用于外地数据收集环境的面向对象的仓库设计，以及6.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.