Dataset and Codebook for: Schoedel, R., Oldemeier, M., Bonauer, L., & Sust, L. (2022). Systematic Categorisation of 3,091 Smartphone Applications From a Large-Scale Smartphone Sensing Dataset. Journal of Open Psychology Data, 10(1), 7. http://doi.org/10.5334/jopd.59

Practically all user activities on a smartphone depend on self-contained software applications, so-called apps. Due to the large number and diversity of available apps, the analysis of app usage behaviour in social science research requires elaborate pre-processing of app data. Therefore, we present a categorisation scheme and a dataset of 3,091 manually categorised apps used by a representative quota sample within a large-scale smartphone sensing study conducted in Germany over several months in 2020. For the categorisation, we report values for inter-rater agreement between two independent raters. We provide the freely available dataset as a CSV and we invite other researchers to use and modify the categorisation for their specific research questions and to extend it for the mobile sensing research community.