The Qlab is a partially funded through the National Science Foundation (NSF Award #1833119) and the NYU PRIISM Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM). Research assistants in the Qlab use innovative methods to understand a panoply of issues related to data (such as ethics, governance, suppliers, consumers, etc.). Past Research Assistants have used text analytics packages like quanteada and antconc to complete quantitative content analysis. Others have use qualitative methods such as discourse analysis and analytic induction.
While diverse in their research, QLAB-affiliated scholars through their work demonstrate relationships between digital material and data science practice. Inductive social science inquiry and ethnographically-informed deductive research validate the findings. As well empirical evidence closes gaps in knowledge, broadly. Some work specifically looks at open government data, as well as data literacy, and identifies solutions for improving the reuse of open data and assesses the demand for open government data, by modeling the open data user experience to clarify assumptions about who uses open data, what they find relevant, and their level of data literacy