Print Email Facebook Twitter Open data innovation capabilities: Towards a framework of how to innovate with open data Title Open data innovation capabilities: Towards a framework of how to innovate with open data Author Eckartz, S. van den Broek, T. Ooms, M. Contributor Wimmer, M.A. (editor) Tambouris, E. (editor) Glassey, O. (editor) Parycek, P. (editor) Janssen, M. (editor) Klievink, B. (editor) Lindgren, I. (editor) Soares, D.S. (editor) Scholl, H.J. (editor) Janowski, T. (editor) Publication year 2016 Abstract Innovation based on open data lags behind the high expectations of policy makers. Hence, open data researchers have investigated the barriers of open data publication and adoption. This paper contributes to this literature by taking a capabilities perspective on how successful open data re-users create value out of the available data sources. First, a framework of IT, organization and skills capabilities required to innovate with data is derived from literature. Second, a case study including a survey and interview with managers from 12 frontrunners in the Netherlands was conducted. The analysis reveals that skills are valued the highest closely followed by organizational capabilities. Setting up a multi-disciplinary team with motivated employees and giving this team the mandate to experiment with data, is essential when innovating with open data. Theoretically, this study contributes to open data research by offering a new capabilities perspective on the organizational level. Our results highlight the importance of entrepreneurship theories to explain value creation with open data. Practically, our study suggests that digital skills and start-ups are important to the open government data policies. © IFIP International Federation for Information Processing 2016. Subject 2015 Urban Mobility & EnvironmentSP2 - Strategy & Policy 2ELSS - Earth, Life and Social SciencesSmart CitiesUrbanisationCapabilitiesOpen dataPublic sector innovationRe-useValue of data and appsArtificial intelligenceComputer scienceComputersCapabilitiesInnovation capabilityMotivated employeesMulti-disciplinary teamsOpen datumOrganizational capabilitiesOrganizational levelsPublic sectorGovernment data processing To reference this document use: http://resolver.tudelft.nl/uuid:ae8f6a2d-ef27-4461-8d67-eec1480af336 DOI https://doi.org/10.1007/978-3-319-44421-5_4 TNO identifier 572409 Publisher Springer Verlag ISBN 9783319444208 ISSN 0302-9743 Source 15th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2016, 5 September 2016 through 8 September 2016, 9820, 47-60 Series Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.