How are you handling academic data collection for research-based AI projects?

One thing I keep running into when building AI systems on top of scientific literature is that the data layer gets almost no attention compared to the model layer. Everyone has an opinion on architectures and fine-tuning strategies but the question of where the actual training data or retrieval corp