Toward a Reference Architecture for User-Oriented Open Government Data Portals

Governments have established Open Government Data Portals (OGDP) to open various types of datasets that can be used to increase transparency, accountability, and innovation. OGDP is becoming a strategic program for citizen engagement and empowering users. Nevertheless, many OGDP architectures focus merely on publishing data and do not support...

Evaluation of a Pilot Game to Change Civil Servants’ Willingness Towards Open Data Policy Making

The adoption of open data policy-making by governments is limited due to different types of constraints. Civil servants are reluctant to open their data to the public for many reasons. The lack of knowledge of benefits that can be produced by the release of data and the overestimation of risks and operational complexity seems to decrease...

A Stakeholders Taxonomy for Opening Government Data Decision-Making

Stakeholders can have different views on the opening of data, and conflicts may arise between them. Several causes of disputes may arise during the decision-making process due to the diverse objectives, interests, and needs among the stakeholders that perceive their desires. Yet, no stakeholder taxonomy exists to guide this decision-making...

A Digital Game to Learn About Open Data

The implementation of open data policies requires the efforts of many public employees across different levels of government, who may be unaware of the benefits and risks of open data. Serious games have demonstrated potential for training in a professional environment. For this research, a collaborative digital serious game about open data...

Generating Value from Government Data Using AI: An Exploratory Study

Open government data initiatives have gained popularity around the world. Artificial Intelligence (AI) has the potential to make better use of data. Combining the OGD and AI is crucial to generate more value from data. In this paper we investigate what kind of value was generated through AI and how. A context-input-process-output/outcome ...

Decision Tree Analysis for Estimating the Costs and Benefits of Disclosing Data

The public expects government institutions to open their data to enable society to reap the benefits of these data. However, governments are often reluctant to disclose their data due to possible disadvantages. These disadvantages, at the same time, can be circumstances by processing the data before disclosing. Investments are needed to be...

Citizens’ Motivations for Engaging in Open Data Hackathons

Engaging citizens in open data hackathons provides opportunities for innovation and the generation of new services and products. This paper aims to explore the motivations of citizens who engage in open agriculture data hackathons. We conducted a case study and analyzed data collected from 161 participants of 11 farming hackathons held between...

A Comparative Study of Methods for Deciding to Open Data

Governments may have their own business processes to decide to open data, which might be supported by decision-making tools. At the same time, analyzing potential benefits, costs, risks, and other effects-adverse of disclosing data are challenging. In the literature, there are various methods to analyze the potential advantages and...

A fuzzy multi-criteria decision making approach for analyzing the risks and benefits of opening data

Governments are releasing their data to the public to accomplish benefits like the creation of transparency, accountability, citizen engagement and to enable business innovation. At the same time, decision-makers are reluctant to open their data due to some potential risks like misuse, sensitivity, ownership, and inaccuracy of the data. The...

A privacy risk assessment model for open data

While the sharing of information has turned into a typical practice for governments and organizations, numerous datasets are as yet not openly published since they may violate users’ privacy. The hazard on data protection infringement is a factor that regularly hinders the distribution of information and results in a push back from...

Towards generalized process patterns for detecting corruption within the government using open data

Governments are seeking for new ways to fight corruption within their own administration. The opening of data has the potential to involve citizens in detecting corruption by providing them the ability to view and analyze data about what is happening within the government. However, how open data can be used to detect corruption is not clear....

How to improve policy making using open data in Virtual Research Environments? An interactive workshop discussing privacy, security and trust strategies

Governments and publicly-funded research institutions increasingly open up data collected and created through research. One way to share and use data obtained through research is through Virtual Research Environments (VREs). Insights obtained through open data use in VREs can subsequently provide input for policy making. However, this process...

A Causal Explanatory Model of Bayesian-belief Networks for Analysing the Risks of Opening Data

Open government data initiatives result in the expectation of having open data available. Nevertheless, some potential risks like sensitivity, privacy, ownership, misinterpretation, and misuse of the data result in the reluctance of governments to open their data. At this moment, there is no comprehensive overview nor a model to understand the...

Data Collaboratives: How to create value from data for public problem solving? Panel

This panel is dedicated to the theme of 'data collaboratives', a novel form of public private partnership to leverage data for addressing societal challenges. The panel brings together prolific researchers and practitioners to share lessons and discuss how value is created from data collaboratives for the solving of public problems. The panel...

Towards an ambidextrous government: Strategies for balancing exploration and exploitation in open government

Governments are often putting their efforts in the operation and execution of existing services without having the means to innovate. Ambidexterity is the ability to operate existing services and to innovate at the same time Ambidexterity is a concept originating from organizational studies in the private sector and is hardly used in the public...