> to finally take reproducibility more seriously

This is incredibly helpful to the community as a whole. Reproduction failures can be incredibly helpful even when the original work has no fraud. In those cases a reprising failure reveals important information about the necessary conditions that the original work relies on.

But honestly, we'll never get this until we drop the entire notion of "novel" or "impact" and "publish or perish". Novel is in the eye of the reviewer and the lower the reviewer's expertise the less novel a work seems (nothing is novel as a high enough level). Impact can almost never be determined a priori, and when it can you already have people chasing those directions because why the fuck would they not? But publish or perish is the biggest sin. It's one of those ideas that looks nice on paper, like you are meaningfully determining who is working hard and who is hardly working. But the truth is that you can't tell without being in the weeds. The real result is that this stifles creativity, novelty, and impact as it forces researchers to chase lower hanging fruit. Things you're certain will work and can get published. It creates a negative feedback loop as we compete: "X publishes 5 papers a year, why can't you?" I've heard these words even when X has far fewer citations (each of my work had "more impact").

Frankly, I believe fraud would dramatically reduce were researchers not risking job security. The fraud is incentivized by the cutthroat system where you're constantly trying to defend your job, your work, and your grants. They'll always be some fraud but (with a few exceptions) researchers aren't rockstar millionaires. It takes a lot of work to get to point where fraud even works, so there's a natural filter.

I have the same advice as Mervin Kelly, former director of Bell Labs:

  How do you manage genius?
  You don't