Data-driven government: Cross-case comparison of data stewardship in data ecosystems

Government agencies are becoming more data-driven and need high-quality data to fulfill their roles in society. In the past, each agency organized its own data exchange system according to its own needs. Today, data is distributed over many organizations, and government agencies need to adopt an ecosystem approach for data exchange. Fundamental...

A Process Pattern Model for Tackling and Improving Big Data Quality

Data seldom create value by themselves. They need to be linked and combined from multiple sources, which can often come with variable data quality. The task of improving data quality is a recurring challenge. In this paper, we use a case study of a large telecom company to develop a generic process pattern model for improving data quality....

A research agenda for information quality assurance in public safety networks: Information orchestration as the middle ground between hierarchical and netcentric approaches

One of the key challenges in public safety networks is to ensure a high level of information quality (IQ) during disaster response. Since many evaluation reports on disaster response efforts have revealed instances of poor IQ, both academics and practitioners are in search of information architectures that assure IQ. This article focuses on the...