Classification of Open Government Data Solutions’ Help: A Novel Taxonomy and Cluster Analysis
- DOI
- 10.1007/978-3-031-41138-0_15
- Published
- 2023
- Container
- Not recorded
- Publisher
- Springer Nature Switzerland
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-41138-0_15,
title = {Classification of Open Government Data Solutions’ Help: A Novel Taxonomy and Cluster Analysis},
author = {Jonathan Crusoe and Antoine Clarinval},
year = {2023},
doi = {10.1007/978-3-031-41138-0_15},
url = {https://doi.org/10.1007/978-3-031-41138-0_15}
}RIS
TY - JOUR TI - Classification of Open Government Data Solutions’ Help: A Novel Taxonomy and Cluster Analysis AU - Jonathan Crusoe AU - Antoine Clarinval PY - 2023 DO - 10.1007/978-3-031-41138-0_15 UR - https://doi.org/10.1007/978-3-031-41138-0_15 ER -
APA
Crusoe, J., & Clarinval, A. (2023). Classification of Open Government Data Solutions’ Help: A Novel Taxonomy and Cluster Analysis. https://doi.org/10.1007/978-3-031-41138-0_15
Source records
- hal · retrieved 2026-11-11T01:14:36.637Z