Titlebook: Statistical Confidentiality; Principles and Pract George T. Duncan,Mark Elliot,Juan-José Salazar-Gon Book 2011 Springer Science+Business Me

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deceive

Providing and Protecting Microdata,005) recognizes both the enthusiasm for the research potential of microdata and the trepidation about the risk microdata pose to confidentiality. In this chapter we help reconcile the inevitable tension of both protecting and providing microdata. We lay out the principles of microdata confidentiality and identify ways of improving DSO practice.

clarify

流眼淚

Restrictions on Data Access,ccessing and analyzing the data.. Restricted access has the potential advantage for users who can subscribe to the DSO’s stipulations that they will often be able to obtain data that are richer than SDL masked data, typically with more geographical and temporal detail..

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CLOUT

Thoughts on the Future, to data. Interestingly, much of what we discuss was only hinted at two decades ago by Duncan and Pearson (1991). Their glimpse to the future is today’s reality. Anticipating tomorrow requires a new and expanded forecast.

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Concepts of Statistical Disclosure Limitation, to learning how statistical confidentiality can be best employed. In this chapter we look at the structure of disclosure risk, its assessment, and its limitation. Complicating our task is that many terms, such as “protecting data” or “sensitive data,” have no universally accepted meaning. Driven by

軍械庫

Assessment of Disclosure Risk,m as the source data, a data product typically has unacceptably high disclosure risk. The data product must therefore be transformed to lower the disclosure risk to an acceptable level. We present a variety of methods for statistical disclosure limitation in Chapters 4 and 5, but first we need to un

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