  More and more digital data is available for social science analysis. This
provides new ways of measuring several concepts. But when we start using new
data sources, we have to understand how the new data source could be processed
and how it could be analysed effectively. It is especially for Facebook data
since there is no established gold standard analysis-framework. However,
researchers have in-depth knowledge on how to measure different concepts using
survey data. Thus, cross-referencing Facebook data with survey data is a
reasonable way to support Facebook data analysis at different decision points.
In this paper, we present how music preference could be measured by Facebook
data and how survey data could support the selection of main indicators. Based
on our results, we provide some general suggestions for Facebook data
processing and indicator operationalization.
