Technological advances have made it cheaper and easier than ever to collect, process, and use data. This data helps individuals, businesses, and governments make better decisions, and data-driven innovation is a critical pathway for boosting social and economic prosperity. But, in a world in which economic opportunities, government services, and healthcare outcomes are intricately linked to data, how individuals and communities are reflected in datasets and how they can use datasets about themselves significantly impacts their ability to fully participate in the data economy. In an article for ISE Magazine, Gillian Diebold shares how divides are emerging between the data haves and the data have-nots and how these data divides can greatly impact individuals and communities.
