As data are indexed by GBIF was generated for so many reasons and come from thousands of publishers, data heterogeneity is coming together with fast, free, and central access, just like books are different in the library - remember La bioblioteca de la vida video you watched at the start of the course. Therefore, results of the search or query are almost never suitable for immediate use as-are; these are raw ingredients, that you need to wash and peel before use. With very few exception, you need to refine your search by using filters as GBIF.org - note simple and advanced filters, and by further data editing before analyses and visualizations. Make application and documentation of your data processing steps an essential element of your work with GBIF mediated data, and reflect those in your publications and use cases.
I would recommend stressing filters, mentioned couple of times at https://docs.gbif.org/course-introduction-to-gbif/en/accessing-gbif-mediated-data.html#accessing-gbif-mediated-data, even stronger.
Something like
As data are indexed by GBIF was generated for so many reasons and come from thousands of publishers, data heterogeneity is coming together with fast, free, and central access, just like books are different in the library - remember La bioblioteca de la vida video you watched at the start of the course. Therefore, results of the search or query are almost never suitable for immediate use as-are; these are raw ingredients, that you need to wash and peel before use. With very few exception, you need to refine your search by using filters as GBIF.org - note simple and advanced filters, and by further data editing before analyses and visualizations. Make application and documentation of your data processing steps an essential element of your work with GBIF mediated data, and reflect those in your publications and use cases.