Transparency-by-design: What is the role of open data portals?

Public Health Dashboards in Overdose Prevention: The Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action

As the field of public health rises to the demands of real-time surveillance and rapid data-sharing needs in a postpandemic world, it is time to examine our approaches to the dissemination and accessibility of such data. Distinct challenges exist when working to develop a shared public health language and narratives based on data. It requires that we assess our understanding of public health data literacy, revisit our approach to communication and engagement, and continuously evaluate our impact and relevance. Key stakeholders and cocreators are critical to this process and include people with lived experience, community organizations, governmental partners, and research institutions. In this viewpoint paper, we offer an instructive approach to the tools we used, assessed, and adapted across 3 unique overdose data dashboard projects in Rhode Island, United States. We are calling this model the "Rhode Island Approach to Public Health Data Literacy, Partnerships, and Action." This approach reflects the iterative lessons learned about the improvement of data dashboards through collaboration and strong partnerships across community members, state agencies, and an academic research team. We will highlight key tools and approaches that are accessible and engaging and allow developers and stakeholders to self-assess their goals for their data dashboards and evaluate engagement with these tools by their desired audiences and users.

Where is Open Data in the Open Data Directive?

The re-use of non-sensitive public sector information is deemed crucial for the realisation of the European data economy. The latest regulatory iteration in this field comes in the form of the Directive on Open Data and the Re-use of Public Sector Information, which is known as the Open Data Directive (ODD). It is a recast of Directive 2003/98/EC on the re-use of public sector information – or the Public Sector Information (PSI) Directive – which is entrenched in the internal market and focused on sharing data for economic gain. However, the new directive further embraces the concept of ‘open data’, a concept rooted in openness and transparency for citizen participation. It is important to interrogate and elicit which aspects of open data the directive incorporates, and which ones fall outside of its purview. Hence, the present paper undertakes a critical analysis of the ODD. It asks firstly, how does the directive align with and diverge from the rationale and requirements of the movement for open data? And secondly, what are the implications of this for citizen participation? The findings show that the original largely technical principles of open data are somewhat respected and incorporated into the ODD but are disjointed from the rationale behind them. References to citizen participation in the directive and supporting documentation, while welcome, risk being little more than window dressing.

Whose open data is it anyway? An exploratory study of open government data relevance and implications for democratic inclusion

Open government data (OGD) is believed to enhance democratic outcomes by empowering citizens with the information necessary to participate in meaningful ways. Nonetheless, questions remain about whether OGD is indeed empowering citizens to participate or if the data that governments publish is more reflective of the interests of non-citizen stakeholders. Using the metadata of 2607 publicly available datasets scraped from New York City’s open data portal, this exploratory study employs qualitative content analysis to identify what types of data are published and what the data say about OGD’s potential as a tool for advancing inclusion in democratic processes. The analysis focused particularly on the datasets’ relevance to five particular stakeholder groups: citizens, private sector firms, nonprofits, researchers, and the city’s internal agencies. Findings showed that non-citizen-relevant datasets not only outnumbered citizen-relevant datasets by a large margin but they were also viewed and downloaded at higher rates too. I discuss the implications for inclusion in democratic processes, including power imbalances among OGD user groups, the discretionary power data publishers possess, and, ultimately, whether the types of data cities publish is sufficient for empowering an informed citizenry, as an effective democracy demands.

Exploring the Quality of Dynamic Open Government Data Using Statistical and Machine Learning Methods

Dynamic data (including environmental, traffic, and sensor data) were recently recognized as an important part of Open Government Data (OGD). Although these data are of vital importance in the development of data intelligence applications, such as business applications that exploit traffic data to predict traffic demand, they are prone to data quality errors produced by, e.g., failures of sensors and network faults. This paper explores the quality of Dynamic Open Government Data. To that end, a single case is studied using traffic data from the official Greek OGD portal. The portal uses an Application Programming Interface (API), which is essential for effective dynamic data dissemination. Our research approach includes assessing data quality using statistical and machine learning methods to detect missing values and anomalies. Traffic flow-speed correlation analysis, seasonal-trend decomposition, and unsupervised isolation Forest (iForest) are used to detect anomalies. iForest anomalies are classified as sensor faults and unusual traffic conditions. The iForest algorithm is also trained on additional features, and the model is explained using explainable artificial intelligence. There are 20.16% missing traffic observations, and 50% of the sensors have 15.5% to 33.43% missing values. The average percent of anomalies per sensor is 71.1%, with only a few sensors having less than 10% anomalies. Seasonal-trend decomposition detected 12.6% anomalies in the data of these sensors, and iForest 11.6%, with very few overlaps. To the authors' knowledge, this is the first time a study has explored the quality of dynamic OGD.

A Review of Digital Era Governance Research in the First Two Decades: A Bibliometric Study

The emergence of digital technologies has profoundly affected and transformed almost every aspect of societal relations. These impacts have also reached public administration, including its governance. Digital technologies’ rise has paved the way for the surfacing of a new public governance model called the Digital Era Governance (DEG) model (often referred to as e-government, digital government, e-governance, or digital governance) in which digital technologies play a central role. Therefore, the main aim of this paper is to provide a comprehensive and in-depth examination of DEG research over the past two decades. Bibliometric analysis is based on the Scopus database that contains 9175 documents published between 2001 and 2020. In this context, several established and innovative bibliometric approaches are applied. The results reveal the growth of DEG research over the last two decades, especially in recent years, as accelerated by several of the most relevant documents published in reputable journals such as Government Information Quarterly. Most DEG research has been conducted in Anglo-Saxon countries, as confirmed while examining the most relevant authors’ affiliations and collaborations. The results also indicate that DEG has advanced from conventional public services to citizen-oriented e-services by including citizens’ participation and, most recently, even to smart services by facilitating emerging and disruptive technologies. The findings add to the stock of scientific knowledge and support the evidence-based policymaking needed to successfully pursue a sustainable future.

Factors Influencing Citizens’ Intention to Use Open Government Data—A Case Study of Pakistan

Open government data (OGD) has gained much attention worldwide; however, there is still an increasing demand for exploring research from the perspective of its adoption and diffusion. Policymakers expect that OGD will be used on a large scale by the public, which will result in a range of benefits, such as: faith and trust in governments, innovation and development, and participatory governance. However, not much is known about which factors influence the citizens’ intention to use OGD. Therefore, this research aims at empirically investigating the factors that influence citizens’ intention to use OGD in a developing country using information systems theory. Improved knowledge and understanding of the influencing factors can assist policymakers in determining which policy initiatives they can take to increase the intention to widely use OGD. Upon conducting a survey and performing analysis, findings reveal that perceived usefulness, social approval, and enjoyment positively influences intention, whereas voluntariness of use negatively influences OGD use. Further, perceived usefulness is significantly affected by perceived ease of use, and OGD use is significantly affected by OGD use intention. However, surprisingly, the intention to use OGD is not significantly affected by perceived ease of use. The policymakers suggest increasing the intention to use OGD by considering significant factors.

Using OpenGovB Transparency Indicator to Evaluate National Open Government Data

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.

Investigation into the adoption of open government data among students: the behavioural intention-based comparative analysis of three countries

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Usability of the G7 Open Government Data Portals and Lessons Learned

Recent advances in technology have made truly open and accessible government significantly more realisable. One of the ways in which governments are using this technology is in the implementation of online portals that allow open (i.e., public and unrestricted) access to data and use of data. Such portals can be used by citizens and professionals to facilitate improved decision-making across a wide range of areas, from car-parking to promoting entrepreneurialism. However, the existence of portals per se is not enough. To maximise their potential, users must also feel that they are both accessible and usable. To gain insights into the current state of usability of OGD portals for professionals working in data-related areas, a comparative study of the portals of the G7 group was carried out, using a mixed methodology. This is the first specific comparison of these portals for such users, as well as the first study to add a user-centred qualitative dimension to the research. The study’s findings showed that the G7 countries are not maximising the potential of their portals or collaborating effectively. Addressing these issues, and building better cross-national consistency, would help to improve the value delivered by investment in OGD portals. The study also further supported an existing user-centred, heuristic evaluation framework for application to a more specific user group, as well as more generally.