Issues in ethical data management

Data science holds incredible promise of improving people's lives, accelerating scientific discovery and innovation, and bringing about positive societal change. Yet, if not used responsibly, this technology can generate economic inequality, destabilize global markets and worsen systemic bias. We consider issues such as bias and violation of data privacy in data analysis. We discuss desirable properties of data analysis such as fairness, transparency, neutrality, and diversity. Our goal is to draw the attention of the computer science community to the important emerging subject of responsible data management and analysis. We present our perspective on the issue, and motivate research directions.