Open Government Data Ecosystems: Linking Transparency for Innovation with Transparency for Participation and Accountability - Electronic Government (EGOV 2016) Access content directly
Conference Papers Year : 2016

Open Government Data Ecosystems: Linking Transparency for Innovation with Transparency for Participation and Accountability

Luigi Reggi
  • Function : Author
  • PersonId : 1016585
Sharon Dawes
  • Function : Author
  • PersonId : 1022924

Abstract

The rhetoric of open government data (OGD) promises that data transparency will lead to multiple public benefits: economic and social innovation, civic participation, public-private collaboration, and public accountability. In reality much less has been accomplished in practice than advocates have hoped. OGD research to address this gap tends to fall into two streams – one that focuses on data publication and re-use for purposes of innovation, and one that views publication as a stimulus for civic participation and government accountability - with little attention to whether or how these two views interact. In this paper we use an ecosystem perspective to explore this question. Through an exploratory case study we show how two related cycles of influences can flow from open data publication. The first addresses transparency for innovation goals, the second addresses larger issues of data use for public engagement and greater government accountability. Together they help explain the potential and also the barriers to reaching both kinds of goals.
Fichier principal
Vignette du fichier
430312_1_En_6_Chapter.pdf (465.16 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01636461 , version 1 (16-11-2017)

Licence

Attribution

Identifiers

Cite

Luigi Reggi, Sharon Dawes. Open Government Data Ecosystems: Linking Transparency for Innovation with Transparency for Participation and Accountability. 5th International Conference on Electronic Government and the Information Systems Perspective (EGOV), Sep 2016, Porto, Portugal. pp.74-86, ⟨10.1007/978-3-319-44421-5_6⟩. ⟨hal-01636461⟩
87 View
222 Download

Altmetric

Share

Gmail Facebook X LinkedIn More