Hi Daniel,

I work on the technical side of metadata. You might give Ecological Metadata Language a try. https://en.wikipedia.org/wiki/Ecological_Metadata_Language

It's an XML based schema, and science metadata management sometimes comes with a bit of a learning curve. But there is quite a movement these days pushing for good science data management practices, so it would be a marketable skill.

There are some advantages to using an established metadata schema. First, it takes the guesswork out of figuring out what should be recorded and how to organize it. Second, it can increase the availability of your metadata by putting it into a format that other systems or applications will be able to recognize and ingest. Here's a link to an example of an EML record in a science data discovery system work with:

https://search.dataone.org/#view/https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/17/27

If you click on the download link next to the file that is described as EML v2.1.1, you will see an example of an ecological science metadata file in this format. Even if you don't choose to adopt a formal metadata standard, the sample record may show you some ideas about what kinds of information would be useful for describing your datasets.

EML sure looks like an interesting format. I will keep it in my mind.

But basically I want to know what kind of data I should provide in an eml.dataTable.

Maybe I will provide the meta data in EML format.

Is there a python3 package for EML? I was unable to find such a package.

Hi Roberto,

I thought about computer processable data, that might be used to extrapolate the distribution.

My first thoughts were about photos of the area and descriptions of the area (size, shape, height, slope, ...) that can be used to detect similar areas using GIS. Maybe @Rachele Amerini knows what kind of data is useful.