An arrangement that would make sense would be to separate data collection from publication and make the academic success of data collectors predicated on how many publications use their data. That would incentivize data collectors to make their data as widely useful and available as possible, which is very counter to the current situation. I imagine data collection groups talking to a number of data analysis groups and figuring out what to collect that would be useful for the largest number of interesting experiments. This might also make data collected intentionally or accidentally to give a specific outcome less likely.

Unfortunately, it's absurdly hard to change what counts as credit towards a successful academic career, so this seems like a pipe dream. Academia is still waging a very uphill battle to get Research Engineer to be a long-term viable career path, despite the absolutely critical need for software engineering in all areas of modern science.