Global Open Data Index: Survey
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3-day forecasts of temperature, precipitation and wind. Forecasts have to be provided for several regions in the country. Short-term weather forecasts are relevant for the general public to plan activities, while also being reliable. See our methodology section for more information.
| Question | Answer | Comment |
|---|---|---|
| Openly licenced | No | |
| In an open and machine-readable format | ||
| Downloadable at once | No | |
| Up-to-date | Yes | |
| Publicly available | Yes | |
| Available free of charge | Yes | |
| findable | 3 | |
| findable_steps | Looked for denmark weather. They have an English version so that makes it easier to find. | |
| Collected by government | Yes | |
| usability | 3 | |
| collector_name | DMI | |
| characteristics | Temperature average, Wind speed, Wind direction, Precipitation Amount, Forecast for current day and four following days | |
| location | http://www.dmi.dk/vejr/ - DMI site, with weather data for the whole country, http://www.dmi.dk/en/vejr/til-lands/national-weather/ - DMI site, national 6-day forecasts, including all required characteristics, http://www.dmi.dk/en/vejr/til-lands/regionaludsigten/fy - DMI site, regional 6-day forecasts, including all required characteristics |
The data is very easily understandable, because all data (be it icons, or graphs) have a legend explaining the data clearly (so humans can interpret bar charts easily). However, the data itself is only available as PNG file embedded in HTML. So manual transcription is necessary to retrieve the data. To make the data usable through machines would require extensive effort. Data cannot be downloaded. There is no open license on the website, but a copyright notification. The website states that one part of the business model is to cater numerical forecasts to private customers (see: http://www.dmi.dk/en/about/profile/introduction-to-dmi/#c5054). It does not appear that the data is in the public domain. Therefore it is not considered to be openly licensed. Thank you, Oscar Montiel, for contributing to the Global Open Data Index.