Data-driven Government: Creating value from Big and Open Linked Data
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ItemEnhancing the Usefulness of Open Governmental Data with Linked Data Viewing Techniques( 2019-01-08)Open Governmental Data publishing has had mixed success. While many governmental bodies are publishing an increasing number of datasets online, the potential usefulness is rather low. This paper describes action research conducted within the context of the Dutch Cadastre’s open data platform. We start by observing contemporary (Dutch) Open Data platforms and observe that dataset reuse is not always realized. We introduce Linked Open Data, which promises to deliver solutions to the lack of Open Data reuse. In the process of implementing Linked Data in practice, we observe that users face a knowledge and skill and that contemporary Linked Open Data tooling is often unable to properly advertise the usefulness of datasets to potential users, thereby hampering reuse. We therefore develop four components for Linked Data viewing to enhance the current situation, making it easier to observe what a dataset is about and which potential use cases it could serve.
ItemQualitative Structural Model for Capabilities in Open Data Organizations( 2019-01-08)Open data is increasingly becoming an essential asset for many organizations. However, large numbers of organizations fall short when it comes to utilizing open data effectively to fully leverage the potential of it. There are ample evidences that this shortcoming is attributable to the poor understanding of what types of capabilities are required to successfully conduct data related activities. At the same time, research on open data capabilities and how they relate to one another remains sparse. Based on the theoretical foundation constructed from the integration of Capability-based Theory and Dynamic Capability Theory and, extant literature and interviews of leadership of open data organizations, we attempt to address this knowledge gap by investigating open data capabilities and relationships between them. Findings help validate the two theories in the open data organizations and reveal unknown knowledge about open data capability areas and how they affect one another.
ItemA Collaborative Governance Approach to Partnerships Addressing Public Problems with Private Data( 2019-01-08)The recent explosion of data, which is generated, collected, and exchanged, opens up new opportunities and poses new challenges. Actors in different sectors have recently began to explore how they can work together and leverage these data to help address ‘wicked’ problems. A novel form of cross sector partnership emerges, labelled “data collaborative”, which is normally focused on accessing private sector data and using it to address public problems. While there is emerging knowledge about how data can be shared in such partnerships, less is known about the collaboration dynamics of these partnerships. Are there any distinct collaboration mechanisms and challenges that come into play? In this paper, we examine this problem from the perspective of collaborative governance and propose a framework for understanding collaboration around data sharing for public good.