Exploiting Data for Supporting Developing Countries

The development in the field of ICT has opened doors for huge data collections. In order to take advantage of the huge data collections, research and development evolves in different directions, which are not necessarily divergent. We have set ourselves the question how developing and developed countries may share best practices to benefit from the explosive growth of data due to ICT- developments. We argue that existing apps can be tailored and fed by data to solve problems, such as safety issues, in specific countries. Furthermore, we stress the importance of sharing datasets amongst different countries. Data sharing contributes to a better understanding of emerging phenomena on our planet

Smart monitoring of the criminal justice system

To gain insight into the success and possible bottlenecks in the criminal justice domain, good and trustworthy management information is required. This paper presents a case study of a data space system that facilitates the monitoring of data flows within as well as between organizations involved in the Dutch criminal justice system. To build such a system several challenges are faced. Data from heterogeneous sources are extracted and related by means of domain knowledge. A proper system architecture is developed based on the concept of data spaces. Our data space system consists of three layers: a data space, a space manager, and an interface layer. The data space layer consists of a set of heterogeneous databases. The space manager layer – implemented as a variable database and a relationship module – consists of domain knowledge. The relationship module decides which databases in the data space layer are required to answer a query. The interface layer consists of a user friendly web interface, which facilitates policy makers to interpret data flows within the justice domain. The evaluation of our system shows that it has an added value in improving policy monitoring and accountability by clarifying goals and providing insightful indicators

Developing, Implementing and Evaluating a Web Interface in the field of e-government

Developing, Implementing and Evaluating a Web Interface in the field of e-governmen

Development, implementation and use of a judicial data space system

For the purpose of good and trustworthy management information for the government, our research institute has built a data space system that makes it possible to periodically monitor data flows within as well as between organizations of the justice domain. The aim of this system is to get insight into the success and possible bottlenecks in the criminal justice domain. Data from heterogeneous sources are extracted and related by means of domain knowledge. The system consists of three layers: a data space, a space manager and an interface layer. The data space layer consists of a set of heterogeneous databases. The space manager layer -- implemented as a variable database and a relationship module -- consists of domain knowledge. The relationship module decides which databases in the data space layer are required to answer a query. The interface layer consists of a user friendly web interface, which facilitates policy makers to interpret data flows within the justice domain

Bringing the research lab into everyday life: exploiting sensitive environments to acquire data for social research

This chapter discusses the concept of sensitive environments. Sensitive environments are essentially spatial and public areas like streets or school that are provided with an intelligent infrastructure that collects sensory information of users while they move and interact. Such sensitive environments offer researchers an environment which enables them to automatically collect lots of data. However, when data collection takes place through a sensitive environment instead of by interviews, questionnaires and structured observations, it consequently changes the nature of social research and imposes new types of questions: How to design the environment to fit the research questions. How do we deal with huge datasets in a sensible way? How can we interpret data that might be incomplete or uncertain in a meaningful and useful way? In the remainder of this work, we discus the use of sensitive environments as a tool for social research embedded within everyday life

Capaciteitsbehoefte justitiële ketens 2013

This report describes the forecasting results of the 'demand' for police, prosecution service, courts and prisons until the end of 2013