000			01829nam a22001577a 4500
999			_c522602 _d522602
008			230429b ||||| |||| 00| 0 eng d
100			_aGao, Y., Janssen, M. and Zhang, C. _940159
245			_aUnderstanding the evolution of open government data research: Towards open data sustainability and smartness
260			_aInternational Review of Administrative Sciences
300			_a89(1), Mar, 2023: p.59-75
520			_aThe past decade has witnessed a rapid development of open government data practices and academic research. However, there is no systematic survey of existing research to understand the evolution of open government data. Such research can facilitate knowledge transfer within and across domains, and foster learning for countries in the early stages of open government data development. This study quantitively extracted the evolution trajectory of open government data based on the main path analysis method and then analysed the underlying motivations. The results show that open government data research went through four main phases and that the open government data movement has spread towards developing countries and smart cities. Different challenges and issues faced by the researchers in each phase drove the evolution of open government data research. Finally, we discuss future directions of open government data research based on our findings and recent development. There is a tendency to create sustainable open government data and smartness by employing artificial intelligence and creating data marketplaces. – Reproduced
650			_aBibliometric analysis, Open data smartness and sustainability, Open government, Systematic literature research. _938015
773			_aInternational Review of Administrative Sciences
906			_aELECTRONIC GOVERNMENT INFORMATION
942			_cAR