What does it mean to treat poetry, brain scans, and library borrowing records alike as “data”? Today, we analyze rich and complicated data produced in the humanities at scale with computational tools such as Natural Language Processing, network analysis, and machine learning. Likewise, data scientists rely on humanists for political and historical context that helps make their work more equitable and just. During 2018-19, the Center for Digital Humanities (CDH) dedicated its energies to bringing various disciplinary voices at Princeton together to examine how data is transforming our academic fields and our society. We called this initiative “Year of Data,” and held over twenty events - lectures, symposia, conferences, workshops - with campus partners in the humanities, arts, data and computer science, social science, and library and archives.