Ask HN: What are your worst pain points when dealing with scientific literature?

My background is mainly in computer science / software engineering, but I've been working with scientists (mainly biologists) for most of my career. One of the biggest areas of friction and frustration I've encountered seems to be around how to effectively extract value from the literature -- whether it be raw data in a form that can be reused, or higher-level knowledge (e.g., how do you consume multiple studies about a given topic and synthesize them into a coherent mental model to inform your own research?).

I'm interested in building tools to improve this, so I'd really appreciate hearing what you all think are the biggest challenges in this area. And if there are existing tools that you consider "secret weapons" for doing better at science, I'd love to hear about those as well.