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

EIA-9876619Karr，Alan F.国家统计科学研究所数字政府：一个基于网络的公开查询系统--机密数据的有限统计分析与几个联邦统计机构合作，这笔赠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，只公开提供聚合的微观数据。然而，汇总过程大大降低了用于获取用于研究、政策和商业目的的知识的微数据的价值，因此需要提供尽可能多的数据。这里提出的是一个大型系统，它跟踪提供派生数据的历史，“了解”并能够量化从机密微数据的派生数据向后工作的潜力。

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.