Revealing the Joint Mechanisms in Traditional Data Linked With BigData

摘要

Recent technological advances have made it possible tostudy human behavior by linking novel types of data to more traditional types ofpsychological data, for example, linking psychological questionnaire data withgenetic risk scores. Revealing the variables that are linked throughout thesetraditional and novel types of data gives crucial insight into the complexinterplay between the multiple factors that determine human behavior, forexample, the concerted action of genes and environment in the emergence ofdepression. Little or no theory is available on the link between suchtraditional and novel types of data, the latter usually consisting of a hugenumber of variables. The challenge is to select – in an automated way– those variables that are linked throughout the different blocks, andthis eludes currently available methods for data analysis. To fill themethodological gap, we here present a novel data integration method.