BURUNDI: Primary and secondary roads
FAIR Overall Score
Abstract
This layer contains primary and secondary roads in Burundi catagorising the roads into three classes and providing information on surface and usability. The data originates from the Burundi Ministry of Health.
Keywords
Supplemental information
No information provided
Legal constraints
Varied / Original: This item is either licensed under multiple licenses. See the item's abstract for more information or contact the distributor.
Contact for resource
Eurac Research - Center for Climate Change and Transformation
kathrin.renner@eurac.edu
Bolzano, 39100, ITA
Contact for metadata
Eurac Research - Center for Climate Change and Transformation
kathrin.renner@eurac.edu
Bolzano, 39100, ITA
Download online resources
SHAPE-ZIP · BURUNDI: Primary and secondary roads charset UTF-8 · BURUNDI: Primary and secondary roads format_options=charset UTF-8 · BURUNDI: Primary and secondary roads csv · BURUNDI: Primary and secondary roads excel · BURUNDI: Primary and secondary roads gml2 · BURUNDI: Primary and secondary roads json · BURUNDI: Primary and secondary roads text xml +subtype gml 3.1.1 · BURUNDI: Primary and secondary roads image/png · BURUNDI: Primary and secondary roads application pdf · BURUNDI: Primary and secondary roads image jpeg · BURUNDI: Primary and secondary roads image png · BURUNDI: Primary and secondary roads image/png8 · BURUNDI: Primary and secondary roads
FAIR Overall Score: 77%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 57% | 4 of 7 | moderate |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 83% | 5 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
Related docs
| # | Name | Description | Link | Date published | Category |
|---|---|---|---|---|---|
| 1 | Maps web services URLs | Here you can find all the available web service URLs provided by Maps, to consume datasets through an interoperable client (QGIS, Python, etc.) or to develop codes for analysis. The most relevant services to access datasets are: WMS (Web Map Service) to visualize layers in a map and to query them); WFS (Web Feature Service) or WCS (Web Coverage Service) to download raw datsets and use them for deep analysis or transformation. | Link | Dec. 13, 2021 | Maps |
| 2 | maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |