A Framework for Data-Driven Public Service Co-production

  • Maarja Toots
  • Keegan McBride
  • Tarmo Kalvet
  • Robert Krimmer
  • Efthimios Tambouris
  • Eleni Panopoulou
  • Evangelos Kalampokis
  • Konstantinos Tarabanis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10428)

Abstract

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.

Keywords

Open data Public services Co-production Co-creation Agile development 

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Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  • Maarja Toots
    • 1
  • Keegan McBride
    • 1
  • Tarmo Kalvet
    • 1
  • Robert Krimmer
    • 1
  • Efthimios Tambouris
    • 2
  • Eleni Panopoulou
    • 2
  • Evangelos Kalampokis
    • 2
  • Konstantinos Tarabanis
    • 2
  1. 1.Tallinn University of TechnologyTallinnEstonia
  2. 2.University of MacedoniaThessalonikiGreece

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