Towards a Tool for Monitoring Crime and Law Enforcement

Crime and law enforcement is a broad policy field in which many organizations are involved, each having a database covering a part of the criminal justice chain. To monitor crime and law enforcement, we therefore have to deal with many organizations and with challenges of the data as redundancy, changing of semantics over time and how to combine register and survey data. In this paper we address these challenges and propose pragmatic solutions in order to produce reliable statistical overviews. However, doing this manually is a laborious proces. A data ware house that may make this proces more efficient appears not to be feasible, since we can only use highly aggregated data. For reasons of privacy, micro data is not available. As an alternative approach we present a framework that may facilitate the management of highly aggregated data of register as well as survey data. In our framework, the relationships between databases that come from different organizations are exploited.