Statistical Disclosure Control from a users’ point of view

Disclosure Control Methods and Information Loss for Microdata

Statistical disclosure control (SDC) seeks to modify statistical data so that they can be published without giving away confidential information that can be linked to specific respondents. The challenge for SDC is to achieve this modification with minimum loss of the detail and accuracy sought by database users. SDC methods for microdata are usually known as masking methods, of which there is a...

Assessing HIS acceptance from users point of view in educational hospitals of Zahedan University of Medical Sciences based on USE IT model

Mathematical Programming Models for Balancing Data Quality and Confidentiality in Tabular Data

1. Mathematical Programming Model for Controlled Tabular Adjustment (CTA) Statistical agencies use different methods to protect the confidentiality of tabular data. The most widely used method, complementary cell suppression, suppresses both primary (sensitive) and secondary (non-sensitive cells) to assure confidentiality. Despite its popularity, it suffers from severe limitations. Complementar...

Conformity of Hospital Information Systems to ISO Standard 9241/ 110 in Hospitals Affiliated to Bushehr University of Medical Sciences: the Users, Point of View

Background: Extensive use of hospital information systems mandate their assessment. Materials and Methods: This cross-sectional study was conducted in hospitals affiliated to Bushehr University of Medical Sciences from May 2018 to February 2019. Data were collected using ISO 9241/110 standard questionnaire. This self-administered questionnaire was distributed among 568 software users in the u...

Local synthesis for disclosure limitation that satisfies probabilistic k-anonymity criterion

Before releasing databases which contain sensitive information about individuals, data publishers must apply Statistical Disclosure Limitation (SDL) methods to them, in order to avoid disclosure of sensitive information on any identifiable data subject. SDL methods often consist of masking or synthesizing the original data records in such a way as to minimize the risk of disclosure of the sensi...