Abstract

In this paper, we discuss a data-intensive research methodology for the digital humanities. We highlight the differences and commonalities between quantitative and qualitative research methodologies in relation to a data-intensive research process. We argue that issues of representativeness and reduction must be in focus for all phases of the process; from the status of texts as such, over their digitization to pre-processing and methodological exploration.