Aree BIPVmeetsHistory
FAIR Overall Score
Abstract
Mappatura delle 4 Aree di progetto del territorio di Como Risultati del progetto Interreg IT-CH "BIPV meets History" Attivita' 4 - Mappatura del potenziale solare www.bipvmeetshistory.eu
Keywords
Supplemental information
BIPV: Building Integrated PhotoVoltaic
Legal constraints
Open Data Commons Open Database License / OSM (ODbL/OSM): You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors If you alter or build upon our data, you may distribute the result only under the same licence. (http://www.openstreetmap.org/copyright)
Contact for resource
Eurac Research - Institute for Renewable Energy
dario.bottino@eurac.edu
Contact for metadata
Eurac Research - Institute for Renewable Energy
dario.bottino@eurac.edu
Download online resources
SHAPE-ZIP · Aree BIPVmeetsHistory charset UTF-8 · Aree BIPVmeetsHistory format_options=charset UTF-8 · Aree BIPVmeetsHistory SHAPE-ZIP · Aree BIPVmeetsHistory charset UTF-8 · Aree BIPVmeetsHistory format_options=charset UTF-8 · Aree BIPVmeetsHistory csv · Aree BIPVmeetsHistory excel · Aree BIPVmeetsHistory gml2 · Aree BIPVmeetsHistory json · Aree BIPVmeetsHistory text xml +subtype gml 3.1.1 · Aree BIPVmeetsHistory image/png · Aree BIPVmeetsHistory image/png · Aree BIPVmeetsHistory application pdf · Aree BIPVmeetsHistory image jpeg · Aree BIPVmeetsHistory image png · Aree BIPVmeetsHistory image/png8 · Aree BIPVmeetsHistory
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 |