What you'll learn

The challenge of data literacy is manifold: How do we define it? How can we measure it? And, if there is a competency gap, then how can we improve literacy? In search for answers, we explore the multiple dimensions of data literacy. Beyond the capability to read and interpret data, it is also about critical skills, fact-checking, sourcing data, understanding bias, visualization, etc. We also discuss an open-source framework that would allow measuring data literacy for individuals, organizations, and society so that data can unleash its potential for all.