Case study findings underlying the publication: "Non-profit organisations’ capabilities to reduce open government data barriers: a conceptual framework"

DOI:10.4121/c063c91d-2ed2-4ec9-a3d3-cf9b37119a00.v1
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/c063c91d-2ed2-4ec9-a3d3-cf9b37119a00
Datacite citation style:
Liubov Pilshchikova; Zuiderwijk-van Eijk, Anneke; M.F.W.H.A. (Marijn) Janssen (2024): Case study findings underlying the publication: "Non-profit organisations’ capabilities to reduce open government data barriers: a conceptual framework". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c063c91d-2ed2-4ec9-a3d3-cf9b37119a00.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The dataset contains the case studies findings in tables referenced and used in the ongoing research paper titled "Non-profit organisations’ capabilities to reduce open government data barriers: a conceptual framework", submitted to the EGOV-CeDEM-ePart conference, September 1-5, 2024, Ghent University and KU Leuven, Ghent/Leuven, Belgium.

History

  • 2024-06-13 first online, published, posted

Publisher

4TU.ResearchData

Format

pdf, text/plain

Funding

  • Horizon 2020 (grant code 850626) European Union

Organizations

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

DATA

Files (2)