%0 Conference Proceedings
%T A Framework for Data-Driven Public Service Co-production
%+ Tallinn University of Technology (TTÜ)
%+ University of Macedonia [Thessaloniki] (UoM)
%A Toots, Maarja
%A Mcbride, Keegan
%A Kalvet, Tarmo
%A Krimmer, Robert
%A Tambouris, Efthimios
%A Panopoulou, Eleni
%A Kalampokis, Evangelos
%A Tarabanis, Konstantinos
%Z Part 5: Big and Open Linked Data
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th International Conference on Electronic Government (EGOV)
%C St. Petersburg, Russia
%Y Marijn Janssen
%Y Karin Axelsson
%Y Olivier Glassey
%Y Bram Klievink
%Y Robert Krimmer
%Y Ida Lindgren
%Y Peter Parycek
%Y Hans J. Scholl
%Y Dmitrii Trutnev
%I Springer International Publishing
%3 Electronic Government
%V LNCS-10428
%P 264-275
%8 2017-09-04
%D 2017
%R 10.1007/978-3-319-64677-0_22
%K Open data
%K Public services
%K Co-production
%K Co-creation
%K Agile development
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-01702980/document
%2 https://inria.hal.science/hal-01702980/file/453552_1_En_22_Chapter.pdf
%L hal-01702980
%U https://inria.hal.science/hal-01702980
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-10428