Miriam Posner (UCLA) has shared a brief blog post, “Data Packages for DH Beginners,” explaining her method for gathering and preparing datasets for use in her introductory DH classroom.
[T]he typical student who enters my DH101 classroom has facility with Word, PowerPoint, maybe Excel, maybe some of the Adobe suite, but not a ton of other computer stuff. By the end of the quarter, my goal is to get them working with and thinking critically about structured data, data cleaning, data visualization, mapping, and web design.
Posner details what she looks for in a dataset and goes on to discuss the value of an associated “project brief” that includes information about the data and contact information for specialists who can assist students in their analysis.
This post was produced through a cooperation between Bebe S. Chang, Perry Collins, Liz Dewar, Arianne Hartsell-Gundy, Arun Jacob (Editors-at-large for the week), Roxanne Shirazi (Editor for the week), and Caitlin Christian-Lamb, Nickoal Eichmann-Kalwara, Sarah Melton, and Patrick Williams (dh+lib Review Editors).