Associated data underlying the article: Why open government data initiatives fail to achieve their objectives: categorizing and prioritizing barriers through a global survey

DOI:10.4121/13142885.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/13142885
Datacite citation style:
Zuiderwijk-van Eijk, Anneke; M. (Mark) de Reuver (2021): Associated data underlying the article: Why open government data initiatives fail to achieve their objectives: categorizing and prioritizing barriers through a global survey. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/13142885.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

choose version:
version 2 - 2021-01-11 (latest)
version 1 - 2020-10-30
This dataset is a collection of:

1. The final SPSS dataset concerning the 171 Open Government Data Initiatives (OGDIs) analysed in this study;

2. The SPSS Output;

3. The Questionnaire used to collect information concerning the OGDIs;

4. An Excel file with an overview of key information concerning the 171 selected OGDIs.

History

  • 2020-10-30 first online
  • 2021-01-11 published, posted

Publisher

4TU.ResearchData

Format

See Readme file

Funding

  • H2020 TRUSTS project (grant agreement number 871481)
  • H2020 TODO project (grant agreement number 857592)

Organizations

TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services

DATA

Files (5)