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A Framework for Data-Driven Public Service Co-production

Authors :
Evangelos Kalampokis
Maarja Toots
Efthimios Tambouris
Konstantinos Tarabanis
Eleni Panopoulou
Tarmo Kalvet
Keegan McBride
Robert Krimmer
Tallinn University of Technology (TTÜ)
University of Macedonia [Thessaloniki] (UoM)
Marijn Janssen
Karin Axelsson
Olivier Glassey
Bram Klievink
Robert Krimmer
Ida Lindgren
Peter Parycek
Hans J. Scholl
Dmitrii Trutnev
TC 8
WG 8.5
Source :
Lecture Notes in Computer Science, 16th International Conference on Electronic Government (EGOV), 16th International Conference on Electronic Government (EGOV), Sep 2017, St. Petersburg, Russia. pp.264-275, ⟨10.1007/978-3-319-64677-0_22⟩, Electronic Government, Lecture Notes in Computer Science-Electronic Government, Lecture Notes in Computer Science ISBN: 9783319646763, EGOV
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

Part 5: Big and Open Linked Data; International audience; Governments are creating and maintaining increasing amounts of data, and, recently, releasing data as open government data. As the amount of data available increases, so too should the exploitation of this data. However, this potential currently seems to be unexploited. Since exploiting open government data has the potential to create new public value, the absence of this exploitation is something that should be explored. It is therefore timely to investigate how the potential of existing datasets could be unleashed to provide services that create public value. For this purpose, we conducted a literature study and an empirical survey of the relevant drivers, barriers and gaps. Based on the results, we propose a framework that addresses some of the key challenges and puts forward an agile co-production process to support effective data-driven service creation. The proposed framework incorporates elements from agile development, lean startups, co-creation, and open government data literature and aims to increase our understanding on how open government data may be able to drive public service co-creation.

Details

Language :
English
ISBN :
978-3-319-64676-3
978-3-319-64677-0
ISSN :
03029743 and 16113349
ISBNs :
9783319646763 and 9783319646770
Database :
OpenAIRE
Journal :
Lecture Notes in Computer Science, 16th International Conference on Electronic Government (EGOV), 16th International Conference on Electronic Government (EGOV), Sep 2017, St. Petersburg, Russia. pp.264-275, ⟨10.1007/978-3-319-64677-0_22⟩, Electronic Government, Lecture Notes in Computer Science-Electronic Government, Lecture Notes in Computer Science ISBN: 9783319646763, EGOV
Accession number :
edsair.doi.dedup.....0393716d4e19154f0717e63881585d7a
Full Text :
https://doi.org/10.1007/978-3-319-64677-0_22⟩