It is a tool which enables easy anonymization processes of DDI standard univariate statistics. It was developed primarily to address the issue of statistical disclosure control for single variable aggregated data, publically distributed to particularly provide information to scientific researchers to promote detailed official statistics microdata use for scientific purposes. It enables quick and easy automatic data protection by performing data protection methods such as bracketing, top- and bottom-coding, variable (information) removal, numeric descriptive statistics protection and low frequency protection following the minimum frequency rule. In contrast to existing microdata and aggregated data anonymization tools, the developed software protects aggregated data directly in the XML code.
The objectives of this pilot project, which is funded by the National Science Foundation (Collaborative Research: Metadata Portal for the Social Sciences, SES-1229957) under the Metadata for Long-standing Large-Scale Social Science Surveys (META-SSS) program, are: