Thanks again for your help on the review. I reviewed the Mexican weather data again. I accessed all sources you mentioned above. Unfortunately, the Global Open Data Index covers a specific type of weather data that is not fully included in the seven datasets you link to (see our data characteristics).
This data does not qualify as a reference for the Global Open Data Index for the following reasons: Either it does not represent modeled forecast data (but observational data), or it is not technically accessible (as in the case of the SOAP API you link to). In the case of the weather warning data, required data such as wind at speed below 50mph and wind direction are missing.
My detailed explanations:
Your proposed datasets of temperature extremes and averages contain historical data, whilst the Global open Data Index assesses modeled forecast data. The provided data is therefore not considered for the assessment.
Wind speed and direction, available at datos.gob.mx/busca/dataset/direccion-y-rapidez-del-viento-por-estacion, could not be retrieved. When the reviewer tried to connect to the API, the connection to the SOAP services was not secure and not available in the moment of review. Therefore the content of the data could not be verified, which is why we could not consider the data for our review.
One of your links presents a downloadable pdf that shows forecasts for the current day and the following three days (smn.cna.gob.mx/es/pronosticos/pronosticossubmenu/pronostico-extendido-a-96-horas). It presents weather forecasts (and warnings) for temperature extremes, precipitation amount, and strong winds (wind speed above 50 mph). This pdf contains neither wind directions, nor winds at speed lower than 50 mph. Therefore it does not qualify as a reference dataset for the review.
The reference dataset for the review:
The review takes following dataset as reference, because it meets all requirements as defined by the Index, including wind speed and direction. You can access the dataset at: http://smn.cna.gob.mx/es/pronostico-del-tiempo-por-municipios. The content is not downloadable, and there is no copyright note on the website that would explain whether the data is openly licensed. Therefore the data is considered not to be openly licensed.
When does a dataset become a “reference dataset”?
There are two ways that a dataset can become a reference.
All required data characteristics (wind speed, wind direction, temperature average or extremes, precipitation amount and probability) are split across different files. The reviewer cannot base the review on one single file, but has to take all available files into consideration. Each question, such as “is the data available for free” must be answered with reference to these files. If some files are available for free, but others are not, the reviewer would state that the data is not available for free. The rationale behind this approach: the Global Open Data Index assesses data categories as a whole. Every question we ask needs to apply to all required data elements.
All required data are contained in one data file or data format (be it a webpage, a pdf file, a csv sheet or alike). If there are several files containing all required data characteristics, a reviewer will refer to the dataset for which most questions can be answered with “Yes”.
In your case, we could have accepted the link to the pdf file including forecasts, to acknowledge that this data is downloadable. Yet, since the pdf did not include all required data, we could not take the pdf as a reference point.
It is important that GODI is rigid with the dataset descriptions and refers to common datasets, that form our unit of analysis. This enables us to compare open data publication across countries. We are open to discuss our current dataset descriptions and gather your feedback how to improve them.
All the best