Text Analysis Across Disciplines: Data Collection and Curation

Instructor: Jessie Labov, Tamás Kiss

Course description: 

In the era of pervasive and networked computing, data curation is an increasingly important practice. It might be defined as “the active and on-going management of data through its lifecycle of interest and usefulness.” The practices and consequences of data curation ramify throughout all stages of the assembly and use of data sets—digital, textual, visual, or otherwise—and accordingly this course aims to create a dialogue between creators, users, and subjects of data, and offers a critical humanistic and/or social science perspective on the creation and use of the data which drives so much discovery today.