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Transparency in Statistical Information for the National Center for Science and Engineering Statistics and All Federal Statistical Agencies (2022) / Chapter Skim
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Pages 167-171

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 167...
... This could be, after a period of adjustment, addressed by sharing data across agencies.3 Further, because the input datasets used to produce official statistics are less likely to be survey data for many programs, and will instead use combinations of survey data, administrative data, and digital trace data, there will be the need to use sophisticated (and currently novel or unknown) models or matching techniques in producing future sets of official statistics.
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From page 168...
... Code that prohibit specific data sharing across -- or even within -- federal agencies or with the public. In addition, it is important that the statistical agencies engage in the further development of statistical meta data standards, especially among all the agencies in concert and through international cooperation, such as with the United Nations Economic Com mission for Europe, the Data Documentation Initiative Alliance, and the Statistical Data and Metadata Exchange.
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From page 169...
... BEST PRACTICES FOR FEDERAL STATISTICAL AGENCIES 169 the agencies to take on new activities that will, at least initially, require additional funds. However, the report also recommends an incremental approach that relies on achievable goals.
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From page 171...
... 2020. Are probability surveys bound to disappear for the production of official statistics?
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Key Terms

  • statistical agencies
  • business process
  • federal statistical
  • official statistics
  • statistical data

  • national statistical
  • international statistical
  • administrative data
  • digital trace
  • trace data

  • input data
  • input datasets
  • census bureau
  • tive data
  • total error

  • business processes
  • data quality
  • nations economic
  • data source
  • produce federal

  • data sharing
  • statistical association
  • specific data
  • produce official
  • metadata exchange


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