Going qual in: Towards methodologically inclusive data work in academic libraries

Data literacy and research data services are a growing part of the work academic libraries. in this context is often presumed to mean only numeric or statistics, leaving open question what role qualitative plays programming for literacy. In paper, we report on results interviews with librarians about their understanding literacy, research, library infrastructure around research. From interviews, propose model that incorporates both interpretive instrumental elements. We conclude suggestions incorporating analysis methods into data.