Data science as a nascent academic field grows rapidly in many directions, and its understanding vastly differs depending on each individual and each organization. Such lack of common understanding veils the shared goal among data science institutions and hampers their potential collaborative effort.
The goal of this research project is to better understand what data science is by observing what data science institutions do and by doing so, to coordinate and improve research collaboration between data science institutions based on their strength and weakness. Furthermore, this project simplifies comparing data science ecosystems between universities by automating the characterization process.