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....

Measuring the quality of humanitarian information products: Insights from the 2015 Nepal earthquake

Information plays a critical role in humanitarian assistance. It has become a product that is shared for multiple purposes such as situational awareness, decision-making, coordination, reporting, and attracting funding. In the aftermath of sudden onset disasters, humanitarians are constrained with huge workload, time pressure, and...

Open Government Data Portal Design Principles: Implementing Transparency, Privacy, and Information Quality Assurance by Design

Transparency, privacy, and information quality assurance are profound issues that often emerge due to the publication or use of open data. Realizing the three values are important, and the design of open government data portals should be able to accommodate the values. However, how the open data portals should be designed in order to accommodate...

On decision-making for sewer replacement

Analysis of how decisions for sewer replacement are made in practice. Extra attention goes to the role of information quality and collaboration between stakeholders. The applied research methods are interviews, surveys and a serious game.

Assessment Methods for Structural and Hydraulic Properties of Concrete Sewer Pipes

Asset management is a tool for maintaining the required level of serviceability of urban drainage systems, which are costly to construct and in some cases even more costly to replace. The required asset management effort to achieve a certain level of service is unclear due to a limited knowledge on sewer failure mechanisms and due to scarcity of...

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...

DIOS: Disaster Interagency Orchestration System: Developing and Evaluating a Network-Centric Crisis Information Management System for ensuring Information and System Quality in Crisis Situations

This thesis investigates the extent to which a network-centric based crisis information management system ensures information quality (IQ) and system quality (SQ) in crisis situations.

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...