Earlier quoted context omitted.
I'd say the problem is more from the academic side. If good data isn't available, then academics should not be publishing papers on toy data. It's meaningless. The goal is not to publish papers but to advance science.
While I tend to agree, the research we environment demands this nonsense. Also, they have to start somewhere to set a record to get future funding. Should probably do more survey studies of what data exists and where the state of things are then suggest new studies and seek funding for it. Short of large and completely government funded development projects, I think it would be a struggle to get data. Few businesses…
These researchers are choosing to waste their own time and governments money, because it's easier to play with new toy machine learning models than go to networking event and befriend software VPs in order to convince them to give you their data.