Open data can be used to understand societal issues and provide accountability, in line with the goals of open government. Open data hackathons and game jams are events where citizens gather to reuse open data and address social issues. We lack an overview of open data hackathons and game jams regarding capturing the events’ purpose and resulting prototypes. To address this gap, we performed a systematic literature review and categorized the events based on their orientation, types of prototypes produced, and data collection methods used to record them. The majority of studies in our review are open data hackathons, with participants engaged in the development of an app, service, or web portal. Despite the promising ways in which games can express social issues, we found only one case of an open data game jam. Hence, we recommend further research into the reuse of open data through game jams and participatory game-making.

Open data holds the potential for public understanding of social issues. In recent years, open data hackathons have emerged as an approach to address social issues with open data. However, hackathons focus on technical solutions and are only suitable for involving an expert audience. There is a need for an approach enabling non-experts to participate to collectively explore social issues with open data. In this research, we developed a game jam approach for beginners. The participants collectively design a video game, and in doing so they articulate social issues. To evaluate the approach, we conducted a series of three game jams, and tested them through non-participant observation, pre and posttest surveys, and analysis of the games produced by participants. We found that the use of available open datasets was limited. Participants were able to produce minimal but functional game prototypes in which the social issues were present. Participants found it difficult to set up collaborative work around the game engine, which limited social learning.

Open data can support the creation of new services, facilitate research, and provide insights into everyday issues affecting citizens. Although public administrations are making efforts to create sustainable and inclusive open data systems, there is limited capacity to identify suitable datasets, clean, release, and reuse them. Serious games offer a possible solution for data capacity building and have already been used to train civil servants and citizens on the topic of open data. This research presents a review of serious games and discusses their potential for data capacity building. The games selected in the review are classified and described according to their different learning outcomes, formats, and type of media. Most serious games found in this review can be categorized as teaching games and are designed to raise data awareness, which is only a limited aspect of building data capacity. We found a lack of design games, research games, and policy games. Given their success for ideation in other fields, design games offer a particular opportunity to build data capacity by generating new ideas about how to reuse open datasets.

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 was developed. A sample of 24 civil servants played the game. Pre-test and post-test surveys were used to evaluate the effects of the game on participants’ perception of open data. Likert score changes between pre-test and post-test indicated that the game had a positive effect on the willingness to share public sector data. By simulating the setting of a public office and by having players make decisions about whether to open certain datasets, the game facilitated learning about the benefits and disadvantages of opening data.

According to open government principles, public administration should make its data available to the public to create transparency, accountability, and to facilitate participation in public decision-making. Open-Data Policies (ODPs) were developed to encourage the opening of governmental data to the public, but require collaboration and awareness from all levels of government. Gaming has proved to be successful for creating awareness. Yet the pandemic hinders in-person gameplay, and there is a need for an online game that can be played remotely. This research uses an in-person game as the starting point to develop an online collaborative digital game. The feature and design choices of the digital game are described, along with its main differences when compared to the in-person one. The essential features include interaction and discussion about open data among players, the assignment of different roles, and points awarded when making the right decision to open, partially share, or close a dataset.