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The purpose of this paper is to construct an indicator framework for evaluating open health data portals from the perspective of user experience (UX) to reduce users’ learning costs, save their time and energy and strengthen the emotional connection with users, thereby encouraging them to actively use open health data.

This study uses card sorting, Delphi and analytic hierarchy process to determine the weights of indicators for evaluating open health data portals. Then, this study uses a coding method to score, evaluate and compare the selection of more than 120 open health data portals supported by organizations in more than 100 countries or regions that are in the World's top confirmed cases of COVID-19 as released by the World Health Organization.

At present, open health data portals have shortcomings with regard to UX. Different types of open health data portals vary significantly in the dimensions of technical experience and functional experience, but the differences in the dimensions of aesthetic experience, emotional experience and content experience are not significant.

The constructed open health data portal evaluation indicator framework introduces users' actual application needs and proposes optimization suggestions for the portal to meet the needs of users to quickly obtain, reliable and accurate health data.

The purpose of this paper is to conduct a usability evaluation of governmental data portals and provide a list of best practices for improving stakeholders’ ability to discover, access, and reuse of these online information sources.

The developed methodology was based on the comprehensive literature review that resulted in a benchmarking framework of the most important criteria. A usability testing method was then applied with accordance to unique requirements of open data portals. This approach was demonstrated by using of a case study.

The main found weakness was a lack of support for active engagement of stakeholders. The list of best practices was introduced to improve the quality of these portals. This should help to improve the discoverability and facilitate the access to data sets in order to increase their reuse by stakeholders.

The creation of appropriate open data portals aims to fulfill the principles of open government, i.e., to promote transparency and openness through the publication of government data, enhance the accountability of public officials and encourage public participation, collaboration, and cooperation of involved stakeholders.

This paper proposed a new approach for the usability evaluation of open data portals on national level from an ordinary citizen’s point of view and provided important insights on improving their quality regarding data discoverability, accessibility, and reusability.

The purpose of this paper was to draw on evidence from computer-mediated transparency and examine the argument that open government data and national data infrastructures represented by open data portals can help in enhancing transparency by providing various relevant features and capabilities for stakeholders' interactions.

The developed methodology consisted of a two-step strategy to investigate research questions. First, a web content analysis was conducted to identify the most common features and capabilities provided by existing national open data portals. The second step involved performing the Delphi process by surveying domain experts to measure the diversity of their opinions on this topic.

Identified features and capabilities were classified into categories and ranked according to their importance. By formalizing these feature-related transparency mechanisms through which stakeholders work with data sets we provided recommendations on how to incorporate them into designing and developing open data portals.

The creation of appropriate open data portals aims to fulfil the principles of open government and enables stakeholders to effectively engage in the policy and decision-making processes.

By analyzing existing national open data portals and validating the feature-related transparency mechanisms, this paper fills this gap in existing literature on designing and developing open data portals for transparency efforts.

This study aims to evaluate the semantic relationships between category terms that are used in open government data (OGD) portals and those identified in policy documents through the implementation of a semantic network analysis.

This study was conducted in three stages. Firstly, the study examined the semantic relationships between category terms in OGD portals by constructing a similarity matrix based on the terms’ co-occurrence and visualizing six-word groups. Secondly, the study investigated the semantic relationships among terms in OGD policy documents using latent semantic analysis and community detection methods, resulting in the identification and visualization of three network groups. Finally, the study used chi-squared and Z-tests to analyse differences in category terms between countries with and without redefined categories.

The results indicate that the three-word groups were identified by community detection, covering various aspects of government. In addition, there is a significant difference between the two country groups, with category terms being more prevalent in countries with predefined categories. This emphasizes the impact of categorization on term prevalence within OGD portals.

This study uniquely focuses on the categorization of government portals for sustainable open data management. The findings underscore the importance of effectively structuring and organizing data categories to enhance user discoverability and accessibility in OGD portals.

This study aims to overcome the “time blind spot” by exploring the multifactorial synergistic effects that enhance the utilization levels of open government data (OGD) portals over time. The objective is to provide theoretical contributions and practical value for research related to open government data.

This study applies the dynamic qualitative comparative analysis (QCA) method to analyze panel data from 29 municipal portals spanning 2019–2023. Specifically, it examines the trends in the utilization levels of China’s OGD portals over time and identifies configurations of conditions that consider both spatial and temporal factors.

There are no necessary but insufficient conditions affecting the utilization levels of OGD portals. Instead, rather than being controlled by a single factor, the utilization levels are influenced by the combined effect of multiple factors. A sufficiency analysis of condition combinations identifies three configuration paths: portal and data resource development driven by fiscal support, portal development and public demand driven by government leadership and portal and data resource development driven by government leadership. In particular, the level of data portal development is identified as a core factor in achieving high utilization levels of OGD portals. Furthermore, while the configuration analysis results do not show significant temporal effects, there are case effects caused by a certain degree of spatial differences.

This pioneering study combines the dynamic QCA method based on panel data with the theme of OGD. Using panel data from 29 municipal platforms over the period from 2019 to 2023, this research addresses the shortcomings of limited time frames that have been encountered in previous studies. Moreover, it explores the configurational paths to enhancing platform utilization over time, aiming to provide both theoretical contributions and practical value for research related to the utilization of OGD portals.

Increasingly, Open Government Data (OGD), a philosophy and set of policies, gains on momentum today. Believed to promote transparency, accountability and value creation by making government data available to all (OECD, 2018), OGD constitutes a yet another field in which the interlocking relation between technological advances and politics can be studied. Using the national OGD portal of the Kingdom of Saudi Arabia (http://www.data.gov.sa/en) as a case study, this evaluates the portal to underline the significance of maintaining the quality of the data sets published online. The usability framework (Machova, Hub, & Lnenicka 2018) constitutes the framework for evaluation of the OGD portal. The findings suggest that there are many drivers to re-use the data sets published via the portal. At the same time, however, there are barriers to re-use the data sets on account of the non-publication of updated data sets. Implicitly, quality of the data sets should be improved. More involvement of the government agencies is required for contributing toward the data sets. Also, user involvement should be promoted by encouraging them to contribute to the data sets and lending recommendations for the improvisation of the data sets published via the portal.

The Wales Institute of Social and Economic Research, Data and Methods (WISERD) is a major new collaborative socio‐economic research programme involving five higher education institutions in Wales. This paper introduces the work of the WISERD data integration team and describes their plans for the development of an online geo‐portal. Their aim is to support WISERD researchers by providing a framework for integrating, managing and disseminating quantitative and qualitative socio‐economic data in Wales. This paper outlines the goals of this major project, discusses the concept of the WISERD geo‐portal and reports on initial investigations into geo‐portal development using free and open‐source (FOSS) software. The paper concludes with a brief summary of the future work of the WISERD data integration team.

Open government data (OGD) are considered as a technology capable of promoting transparency openness, and accountability, which in turn has a positive impact on innovation activities and creates responsive government, collaboration, cooperation, co-creation and participation. The purpose of this paper is to explore the adoption of OGD and open data portals among students, in an attempt to discover how governments can improve their actions in this respect.

This study develops a behavioural intention-based analysis using constructs from the Unified Theory of Acceptance and Use of Technology, which is supplemented with additional constructs that meet the purpose of the study. In total, ten constructs divided into 33 items constituted the input for our study. Input data for the developed model have been collected through a structured questionnaire distributed between bachelor's and master's level students in three countries – the Czech Republic, India and Latvia. A structural equation modelling technique was used to analyse the relationships between variables of the model and test the nine hypothesis defined.

Six constructs have been identified to facilitate significant relationships with behavioural intention. The analysis of the results of the three countries allows us to draw more objective conclusions in respect to the aim of the study and to reveal country-specific aspects that need to be addressed in the future.

This study adds to the existing literature few theoretical and practical aspects. It highlights the role of open data portals as a central point of OGD infrastructures. It enables governments to understand the relationships among the related constructs, improving their actions and modifying their data infrastructures accordingly.