You can't have a successful data migration if you don't map it out from the start. Learn what data mapping is and why it's an important early step in data migration ...

Faced with the diversity and complexity of information, it is clear that it is becoming vital to have methods and tools to structure the data, analyze it, to establish meaningful relationships between ...

Organizations need to know which systems their information is stored on as well as the relationship of one system to another; that ability to understand the profile of systems is central in helping ...

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 ...