Abstract
Statistical institutions are responsible both for protecting confidential information collected from statistical units, and for disseminating information to the public. Adhering to the legislation on confidentiality, the statistical institutions face two contradictory problems: one concerning statistical disclosure control, the other concerning the included level of detail and the usability of the disseminated information for the end users. As an empirical example of balancing the two problems, the paper reports the results of an experiment conducted with case data on the inward Foreign AffiliaTes Statistics (FATS). The results are analysed to support the further decision making on protecting statistical publications against statistical disclosure.
Revised version of a paper published in Statistics Finland’s Working Papers series 6.3.2014. Working Papers 3/2014.
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© 2014 Springer International Publishing Switzerland
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Soininvaara, K., Oinonen, T., Nissinen, A. (2014). Balancing Confidentiality and Usability. In: Domingo-Ferrer, J. (eds) Privacy in Statistical Databases. PSD 2014. Lecture Notes in Computer Science, vol 8744. Springer, Cham. https://doi.org/10.1007/978-3-319-11257-2_26
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DOI: https://doi.org/10.1007/978-3-319-11257-2_26
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11256-5
Online ISBN: 978-3-319-11257-2
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