Skip to main content

Federal Statistics, Multiple Data Sources, and Privacy Protection Next Steps (2017) / Chapter Skim
Currently Skimming:

Appendix A: Executive Summary from "Innovations in Federal Statistics: Combining Data Sources While Protecting Privacy"
Pages 171-174

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 171...
... However, the costs of conducting such surveys have been increasing while response rates have been declining, and many surveys are not able to fulfill growing demands for more timely information and for more detailed information at state and local levels. The Panel on Improving Federal Statistics for Policy and Social Science Research Using Multiple Data Sources and State-of-the-Art Estimation Methods was charged to conduct a study to foster a paradigm shift in federal statistical programs that would use combinations of diverse data sources from government and private-sector sources in place of a single census, survey, or administrative records source.
Read the entire page →
From page 172...
... RECOMMENDATION 3-1 Federal statistical agencies should sys tematically review their statistical portfolios and evaluate the potential benefits and risks of using administrative data. To this end, federal statistical agencies should create collaborative research programs to address the many challenges in using administrative data for federal statistics.
Read the entire page →
From page 173...
... As federal statistical agencies seek to combine multiple datasets, they need to simultaneously address how to control risks from privacy breaches. Privacy-enhancing techniques and privacy-preserving statistical data analysis can be valuable in these efforts and enable the use of private-sector and other alternative data sources for federal statistics.
Read the entire page →
From page 174...
... The panel's second report will examine organizational models for a new entity, quality frameworks for multiple data sources, statistical techniques for combining data from multiple sources, privacy-enhancing and privacy-preserving techniques, as well as the information technology implications for implementing a new paradigm that would combine diverse data sources.
Read the entire page →

Key Terms

  • statistical agencies
  • multiple data
  • administrative records
  • statistical purposes
  • records held

  • diverse data
  • privacy protection
  • combining data
  • using administrative
  • multiple sources

  • tive data
  • modern database
  • privacy breaches
  • statistical products
  • government entities

  • statistical programs
  • ernment administrative
  • directly charged
  • combine diverse
  • administrative datasets

  • records source
  • facilitate secure
  • estimation methods
  • provide annual
  • agencies seek

  • technology implications
  • quality frameworks
  • cal agencies
  • law enforcement
  • control risks


    • This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
    More information on Chapter Skim is available.