Title
A Digital Game to Learn About Open Data
Author
Di Staso, D. (TU Delft Information and Communication Technology)
Kleiman, F. (TU Delft Information and Communication Technology)
Crompvoets, Joep (Katholieke Universiteit Leuven)
Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology)
Contributor
Scholl, Hans Jochen (editor)
Gil-Garcia, J. Ramon (editor)
Janssen, Marijn (editor)
Kalampokis, Evangelos (editor)
Kalampokis, Evangelos (editor)
Lindgren, Ida (editor)
Rodríguez Bolívar, Manuel Pedro (editor)
Date
2021
Abstract
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.
Subject
Covid-19
Gaming
Open data
Open data policy
Serious games
To reference this document use:
http://resolver.tudelft.nl/uuid:362c81c6-20fd-444d-9e37-d8c88aff264e
DOI
https://doi.org/10.1007/978-3-030-84789-0_11
Publisher
Springer
Embargo date
2022-03-02
ISBN
9783030847883
Source
Electronic Government - 20th IFIP WG 8.5 International Conference, EGOV 2021, Proceedings
Event
20th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2021, held in conjunction with the IFIP WG 8.5 International Conference on Electronic Participation, ePart 2021 and the International Conference for E-Democracy and Open Government Conference, CeDEM 2021, 2021-09-07 → 2021-09-09, Granada, Spain
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 12850 LNCS
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2021 D. Di Staso, F. Kleiman, Joep Crompvoets, M.F.W.H.A. Janssen