Statistical Methods of Confidentiality for Micro Data and Developing an Object Oriented Statistical Disclosure Control Software

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Haşıloğlu A., Balı A.

EL-CEZERÎ JOURNAL OF SCİENCE AND ENGİNEERİNG, cilt.4, ss.319-333, 2017 (Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 4
  • Basım Tarihi: 2017
  • Dergi Adı: EL-CEZERÎ JOURNAL OF SCİENCE AND ENGİNEERİNG
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.319-333
  • Atatürk Üniversitesi Adresli: Evet

Özet

Statistical offices collect large amounts of data for statistical purposes. A basic principle in statistical legal frameworks is that data collected for statistical purposes may only be used for the production of statistics. However, statistical offices experience increasing pressure from scientists and governments to provide access to detailed data. There are high costs and risks associated with micro data access. When micro data sets are released, it is possible that external users may attempt to breach confidentiality. In this paper, an object-oriented statistical disclosure control software, OOSDCS was developed to facilitate statisticians and to apply statistical disclosure control methods to create safe micro data files. The developed hybrid, flexible and interactive software was successfully applied as a disclosure control method.