Dataset for: Systematic categorisation of 3091 smartphone applications from a large-scale smartphone sensing dataset

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. The Smartphone Sensing Panel Study, which produced the app list for the categorisation, is a joint project of LMU Munich and the Leibniz Institute for Psychology (ZPID). ZPID provided most of the funding for the implementation of the described panel study. unknown