The semiconductor value chain is essential for modern economies but is prone to disruptions that pose considerable risks. Policy makers need robust data to help address a wide array of issues such as identifying bottlenecks, monitoring the balance between supply and demand of specific...

Introduction of data quality management -- Quality management in Data Science -- Pillars of data quality management -- Tools of data quality management -- Experimental designs for data quality control -- High-quality data collection in data markets -- Ghost data in data quality management --...

SHARE, the "Survey of Health, Ageing and Retirement in Europe", is a large population-based panel survey among people aged 50 and over with data from 28 European countries and Israel. It investigates individual, economic, health-related, and social life-course circumstances in order to shed...

Third-party cookies and related 'offsite' tracking technologies are frequently used to share user data across applications in support of ad delivery. These data are viewed as highly valuable for online advertisers, but their usage faces increasing headwinds. In this paper, we quantify the...

Research on privacy enhancing approaches for sharing data has grown significantly over the past two decades. This increased interest has led to extensive theoretical and methodological research, but the number of practical applications of privacy enhancing technologies has lagged far behind....

This paper explores the realities of disclosure risks in the current big data landscape, examining implications for individuals, society, and the evolving ethical landscape. One these realities is pervasive use of dark patterns in data collection. Dark patterns are user interfaces crafted to...

National surveys are crucial for estimating key economic aggregates, including the unemployment rate, labor force participation, and household expenditures. The accuracy of these indicators is increasingly under scrutiny due to declining response rates and the consequent risk of nonresponse...

Synthetic microdata - data retaining the structure of original microdata while replacing original values with modeled values for the sake of privacy - presents an opportunity to increase access to useful microdata for data users while meeting the privacy and confidentiality requirements for data...