Lightning talk given at the National Data Service Consortium in Boulder, Colorado, on June 12, 2014
This talk brings the interdisciplinary perspective of the social sciences, humanities, and digital humanities to data science and is a follow-up to our HASTAC May 28 “Big (and Messy) Data” workshop as part of a two-year NSF EAGER grant on data and cross-disciplinary collaboration and mentoring. A key concern from this workshop that needs to be applied to our National Data Service is what my colleague and collaborator Richard Marciano has termed the “forensics” of understanding and interpreting big data. If we are going to provide a national data service for researchers, we must include in that service useful questions that any researcher, in any field, must pose in order to fully understand the biases, histories, and ambiguities of data, including the way that the inputs can distort the outputs an that all data requires interpretation and context.
Credits: Special thanks to Kaysi Holman and Jade Davis for brainstorming this talk with me and to Jade for designing the striking slides.)