E-government open data platforms use metadata to provide an adequate environment for the consumption of data released on these platforms. Metadata enable the machine processing of information in a structured manner. Given that it reveals details and context about data, metadata allow interpretation in unique way and offer semantics for open government data. This paper presents an overview and analysis of four metadata models used in contemporary e-government open data platforms. We illustrate the strengths and limitations of these models through aspects and principles of open data defined in the paper by proposing metadata quality assessment model. Moreover, we examine how metadata structure is oriented toward the provision of valuable information assets needed for the utilization of open government data. Finally, we give an overview of available API support on the selected open data platforms for the provision and reuse of open data. The research results indicate that more attention should be paid to metadata to uncover relationships between datasets.
Transparency evaluation in open government is a process of measuring the extent of transparency against a predefined set of indicators. In this paper, we address the existing initiatives regarding data and government transparency evaluation as two separate indicators and present the analysis of their advantages and drawbacks. Based on that analysis, we extend a part of the OpenGovB benchmark related to transparency in open government. What is unique about this benchmark is that it utilizes metadata of data published on the open government data portals to calculate the majority of indicators related to data transparency indicators. For the government transparency indicator evaluation, the benchmark utilizes some of the well-known transparency indicators. The article shows concrete results obtained from the application of the defined transparency evaluation model on 22 open data portals, thus demonstrating the possibilities of its application as well as the gains regarding generated results. The proposed model bridges the gap between available methodologies for evaluating transparency based on collaboration and participation and methodologies for evaluating transparency based on open data.
Through the utilization of artificial intelligence (AI), governments can automate the analysis of publicly available government datasets. This process aids in the recognition of patterns and the development of a more profound comprehension of various socio-economic factors and empowers governments to base their policy decisions on data, effectively tackling societal issues, and optimizing the allocation of resources. In this paper we present AI’s application in the realm of e-government, with particular emphasis on its potential influence on the advancement of this field through e-government services and their significance for a range of stakeholders. Moreover, we have conducted comprehensive review of existing literature on the subject and the identification of avenues for enhancement along with consideration of legislation as a potent instrument to guide the progression of AI within the sphere of e-government, thereby amplifying its transformative effect. We emphasize the importance of education in area of AI in order to ensure it’s high quality implementation in this and other areas.
1 January 2022 in The European Journal of Applied Economics
Publishing of open government data brings enormous benefits both to providers and consumers. On the one hand, governments increase their transparency and enable development of smarter and richer solutions, while on the other hand it enables various stakeholders to extract new information and create value from them. In this paper we investigate applicability of open government data for economic development and creation of value from published data. Different aspects of open government data consumption are explored, such as effectiveness, transparency and quality-and how they interrelate. They are of great importance for valorisation of open government data, and we will show that leveraging economic value of OGD must be accompanied by governments' ability to make high quality OGD available.