title: A Review of Statistical Disclosure Control Techniques Employed by Web-Based Data Query Systems.
abstract: We systematically reviewed the statistical disclosure control techniques employed for releasing aggregate data in Web-based data query systems listed in the National Association for Public Health Statistics and Information Systems (NAPHSIS). Each Web-based data query system was examined to see whether (1) it employed any type of cell suppression, (2) it used secondary cell suppression, and (3) suppressed cell counts could be calculated. No more than 30 minutes was spent on each system. Of the 35 systems reviewed, no suppression was observed in more than half (n = 18); observed counts below the threshold were observed in 2 sites; and suppressed values were recoverable in 9 sites. Six sites effectively suppressed small counts. This inquiry has revealed substantial weaknesses in the protective measures used in data query systems containing sensitive public health data. Many systems utilized no disclosure control whatsoever, and the vast majority of those that did deployed it inconsistently or inadequately.
authors: Department of Mathematics and Statistics, Loyola University Chicago, Chicago, Illinois (Dr Matthews); Department of Statistics, University of Connecticut, Storrs, Connecticut. (Dr Harel); and Oral Health and Diagnostic Sciences, University of Connecticut Health Center, Farmington, Connecticut (Dr Aseltine).
authors: Gregory J
authors: GJ
authors: Matthews
authors: Ofer
authors: O
authors: Harel
authors: Robert H
authors: RH
authors: Aseltine
mesh_terms: D003627:Data Interpretation, Statistical; D030881:Disclosure / Q000592:standards*; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D020407:Internet; D040442:Public Health Informatics / Q000295:instrumentation / Q000379:methods*