Literature DB >> 25747686

Privacy in confidential administrative micro data: implementing statistical disclosure control in a secure computing environment.

Daniela Hochfellner1, Dana Müller2, Alexandra Schmucker2.   

Abstract

The demand for comprehensive and innovative data is constantly growing in social science. In particular, micro data from various social security agencies become more and more attractive. In contrast to survey data, administrative data offer a census with highly reliable information but are restricted in their usage. To make them accessible for researchers, data or research output either have to be anonymized or released after disclosure review procedures have been used. This article discusses the trade-off between maintaining a high capability of research potential while protecting private information, by exploiting the data disclosure portfolio and the adopted disclosure strategies of the Research Data Center of the German Federal Employment Agency.
© The Author(s) 2014.

Keywords:  administrative data; anonymization; confidentiality; data protection; social sciences

Mesh:

Year:  2014        PMID: 25747686     DOI: 10.1177/1556264614552799

Source DB:  PubMed          Journal:  J Empir Res Hum Res Ethics        ISSN: 1556-2646            Impact factor:   1.742


  2 in total

1.  The Active Constituent From Gynostemma Pentaphyllum Prevents Liver Fibrosis Through Regulation of the TGF-β1/NDRG2/MAPK Axis.

Authors:  Hui Huang; Kuifeng Wang; Qian Liu; Feihong Ji; Hu Zhou; Shanhua Fang; Jiansheng Zhu
Journal:  Front Genet       Date:  2020-11-04       Impact factor: 4.599

2.  The Research Data Centre of the German Federal Employment Agency at the Institute for Employment Research (RDC-IAB) - Linked Microdata for Labour Market Research.

Authors:  M Antoni; A Schmucker
Journal:  Int J Popul Data Sci       Date:  2019-11-20
  2 in total

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