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B. Meindl, A. Kowarik, M. Templ:
"sdcApp - a shiny new GUI for sdcMicro";
Vortrag: NTTS 2017, Brussels (eingeladen); 15.03.2017; in: "NTTS 2017 Proceedings", (2017), S. 1 - 3.

Anonymization of micro data is often a non-trivial task. The R [1] package sdcMicro [2]

allows to create safe micro data sets that meet confidential requirements. However, the

usage might be difficult for non-experts in R. Thus, a graphical user interface (GUI) for

sdcMicro targeted for users with low or no expertise in R has been made available on

CRAN in form of the package sdcMicroGUI [3] since 2010.

sdcMicroGUI allowed to apply to create problem instances that could be used within

sdcMicro. However, there were some issues with sdcMicroGUI that could not be easily

fixed. Instead, the idea was born to create a new interface from scratch using modern

technologies. Thanks to funds from the World Bank Group (http://www.worldbank.org)

and the Departement for International Development DfID

(https://www.gov.uk/government/organisations/department-for-international-

development), this new interface is directly included in sdcMicro since version 5.0.0 of

the package. This makes it also easier for (inexperienced) users to start working on data

anonymization because no additional packages other than sdcMicro and its dependencies

need to be installed to make the GUI work.

The new point-and-click graphical user interface is highly interactive, can import and

export data, considers reproducibility of any result, includes "undo" functionality, can

deal with hierarchical data structures, sampling weights and missing values, supports

instant help, present summaries and plots at any stage of the anonymisation, runs in any

popular internet browser, and can work also with large data sets since it calls

computationally optimized methods for statistical disclosure control.

Statistical Dislosure Control, R, Interactive Graphical User Interface

http://publik.tuwien.ac.at/files/publik_258455.docx