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ABS DataLab output checking tools / by Chien-Hung Chien.CS11-522/2022-1-6E-PDF

"The Australian Bureau of Statistics (ABS) is committed to improving access to more microdata, while ensuring privacy and confidentiality is maintained, through its virtual DataLab which supports researchers to undertake complex research more efficiently. Currently, the DataLab research outputs need to follow strict rules to minimise disclosure risks for clearance. However, the clerical-review process is not cost effective and has potential to introduce errors. The increasing number of statistical outputs from different projects can potentially introduce differencing risks even though these outputs from different projects have met the strict output rules. The ABS has been exploring the possibility of providing automatic output checking using the ABS cellkey methodology to ensure that all outputs across different projects are protected consistently to minimise differencing risks and reduce costs associated with output checking"--Abstract.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.942547&sl=0

Publication information
Department/Agency
  • Statistics Canada, issuing body.
TitleABS DataLab output checking tools / by Chien-Hung Chien.
Variant title
  • At head of title: Proceedings of Statistics Canada Symposium 2022 : data disaggregation : building a more representative data portrait of society
Series title
  • [Statistics Canada international symposium series : proceedings], 1709-8211
Publication typeMonograph - View Master Record
Language[English]
Other language editions[French]
FormatDigital text
Electronic document
Note(s)
  • Cover title.
  • Issued also in French under title: Outils de vérification des données de sortie du DataLab de l'ABS.
  • Includes bibliographical references.
Publishing information
  • [Ottawa] : Statistics Canada = Statistique Canada, March 25, 2024.
Author / Contributor
  • Chien, Chien-Hung, author.
Description1 online resource (6 unnumbered pages) : illustrations.
Catalogue number
  • CS11-522/2022-1-6E-PDF
Departmental catalogue number11-522-X
Subject terms
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