Data Science, by its name, crosses disciplinary boundaries. It may, thus, be defined by the techniques and mindset that typify it perhaps even more than by the topics of study to which its practitioners typically look. Regardless of discipline, five major principles describe these techniques and mindset:
- Data are spatial and relational
- The researcher must be prepared to deal with text (and code)
- Data availability $\neq$ data accessibility
- New types of data mean new ethical questions, and
- Translation such as this is cultural as much as conceptual
In turn, we’ll focus on each below.