Digital Government: A Web-Based Query System for Disclosure-Limited Statistical Analysis of Confidential Data

数字政府：基于网络的机密数据有限披露统计分析查询系统

• 批准号: 9876619
• 负责人: Alan Karr
• 金额: $ 126.64万
• 依托单位: National Institute of Statistical Sciences
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-10-01 至 2003-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9876619&HistoricalAwards=false
• 关键词: Digital; Government; Web; Based; Query

EIA-9876619Karr, Alan F.National Institute for Statistical SciencesDigital Government: A Web-Based Query System for Disclosure-Limited Statistical Analysis of Confidential DataWorking with several Federal statistical agencies, this grant will address an important topic for Federal statistical agencies. As part of their missions, these agencies collect a great deal of microdata (data related to an individual or particular business); this data must remain confidential. Thus, only aggregated microdata is provided publicly. However, the aggregation process reduces much of the value of the microdata for deriving knowledge to be used in research, policy and commercial purposes, so there is a balancing need to provide as much data as possible. What is proposed here is a large-scale system which tracks the history of provision of derived data and which "understands" and can quantify the potential for working backward from the derived data of confidential microdata.

美国国家统计科学研究所数字政府：一个基于网络的查询系统，用于机密数据的披露有限统计分析与几个联邦统计机构合作，这项拨款将解决联邦统计机构的一个重要课题。 作为其任务的一部分，这些机构收集了大量的微观数据（与个人或特定企业有关的数据）;这些数据必须保密。 因此，只公开提供汇总的微观数据。 然而，汇总过程减少了微观数据在获取用于研究、政策和商业目的的知识方面的大部分价值，因此需要平衡提供尽可能多的数据。 这里提出的是一个大规模的系统，它可以跟踪提供派生数据的历史，“了解”并可以量化从机密微观数据的派生数据向后工作的潜力。