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Digital Government: A Web-Based Query System for Disclosure-Limited Statistical Analysis of Confidential Data      (Back to Search Results)


Grant Number: 9876619

  • Description: Continuing grant
  • Associated Project:
  • Award Date:
  • Award Period: 1999-10-01 to 2003-07-31
  • Amount: $ 1307388.00

Primary Investigator:
Alan Karr

Researchers
Alan Karr

Technology:
Data Sharing & Integration
Data Visualization
Metadata
Security & Privacy

Government Domain:
Data Privacy
Records & Archives
Statistics & Surveying

Primary Institution:
Nat'l Inst. of Stat. Sci.

Project Home Page:
http://www.niss.org/dg/

Latest Project Highlight:
None

Abstract:
Working 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.