Abstract
This article explores the interface between disclosure protection and multiple dimensions of data quality (accuracy, accessibility, relevance, coherence, granularity, punctuality, and interpretability) in the dissemination of statistical information products and services. Operational constraints and related trade-offs receive special attention. The main ideas are placed in the context of previous literature, and summarized through several sets of questions.
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CITATION STYLE
Eltinge, J. L. (2022). Disclosure Protection in the Context of Statistical Agency Operations: Data Quality and Related Constraints. Harvard Data Science Review. https://doi.org/10.1162/99608f92.1cfad278
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