In the current digital era, businesses are gathering and keeping enormous volumes of data on their clients, staff and operations. Data breaches and cyberattacks are more likely as data volume ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Handling sensitive patient data is a critical responsibility for organizations involved in clinical trials. To meet regulatory requirements, many rely on SDTM mapping—a process that converts raw ...

Data Feminism, as conceptualized by D’Ignazio & Klein (2020), introduces intersectional feminism in data science and invites us to examine power relations and dynamics of oppression that are built ...