Open data value capability architecture

To gain insight into customer's needs and stay competitive, open data-driven organizations must acquire capabilities to generate different kinds of values from open data. With respect to open data capabilities, scholarly efforts articulating the nature and types of open data capabilities are very limited. To bridge this knowledge gap, we construct a theoretically-grounded open data value capability architecture that explains how open data-driven organizations can identify, map, develop and plan open data value capabilities. To demonstrate and validate the capability architecture, we implemented the architecture in two open data-driven organizations in Ireland. The application of the architecture revealed eight new open data value capabilities: Knowledge of data standards and Data on the Web Best Practices, Knowledge of data value, Data Strategy, Aggregation process (GPS), Database architecture, Knowledge of graph data models, Verifying data integrity, and Web-based front-end. We conclude that the Open data capability domain is yet to mature. Thus, more scholarly and empirical research is necessary in this area.