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

Area of Science:

• Social science research
• Data accessibility
• Privacy-preserving data analysis

Background:

• Growing demand for comprehensive social science data.
• Increasing attractiveness of micro data from social security agencies.
• Limitations in accessing and using administrative data due to privacy concerns.

Purpose of the Study:

• Discuss the trade-off between research potential and data privacy.
• Analyze disclosure strategies for administrative data.
• Examine the data disclosure portfolio of a specific research data center.

Main Methods:

• Review of data anonymization techniques.
• Explanation of disclosure review procedures.
• Case study of the Research Data Center of the German Federal Employment Agency.

Main Results:

• Identification of strategies to balance data utility and confidentiality.
• Demonstration of how administrative data can be made accessible.
• Highlighting the role of disclosure control in research data centers.

Conclusions:

• Effective disclosure strategies are crucial for leveraging administrative data.
• Anonymization and review processes enable secure data access.
• The German Federal Employment Agency's approach offers insights for other institutions.