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 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...

Netcentric Information Orchestration: Assuring Information and System Quality in Public Safety Networks

During daily operations, relief agencies such as police, fire brigade and medical services manage information in accordance with their respective processes and organization structure. When disaster strikes, the ad-hoc combinations of such hierarchy based information systems fail to assure high information quality (IQ) and system quality (SQ) for...

Identifying and confirming information and system quality requirements for multi-agency disaster management

This paper investigates the relevance and assurance of information and system quality as requirements for information systems success during disaster management. Despite the many examples of poor information quality and poor system quality, research on the relevance and assurance of these requirements is sparse. In order to design successful...