There are different ways in which one can approach data management and analysis in qualitative research. Data management is the process through which the researcher manages a large volume of data. Often this process could include chunking small analytic units from the larger body of raw data for closer analysis. The chapter explores types of inductive data analysis processes used in qualitative research, although many more exist. Inductive analysis in qualitative research refers to working “up” from the data. The process of inductive analysis assumes that the researcher is not starting the data analysis with any kind of preestablished testable hypothesis about the data. Interpretation of qualitative research involves developing narratives about the ways in which the researcher is co-constructing meaning with her participants. Often this involves analyzing data, looking within various chunks of data, identifying analytical insights, and reflecting on the insights gained through some narrative format.