Qualitative tourism research is inevitably multidimensional. The fragmentation of the tourism sector across policy domains, scales, space and stakeholders leads to ‘blurry’ and aggregated datasets. Yet, tourism studies have a weak record in describing how results emanate from raw qualitative data. This paper presents a coding/post-coding scheme that proved robust in disentangling multidimensional tourism datasets in a middle-range research project that necessitated reflecting on the position of the researcher and the literature study during the data analysis. It describes the pragmatic decisions taken to organise the qualitative data from a research project on cross-border tourism and regional development processes. The paper also functions as a reflexive account of how this scheme came into existence. It contributes to the tools available to practically acknowledge the fragmentation of the tourism sector and the resulting multidimensional qualitative data, and calls for a more open accounting of the data analysis process and the underlying research values in tourism studies.