  The "reproducibility crisis" has been a highly visible source of scientific
controversy and dispute. Here, I propose and review several avenues for
identifying and prioritizing research studies for the purpose of targeted
validation. Of the various proposals discussed, I identify scientific data
science as being a strategy that merits greater attention among those
interested in reproducibility. I argue that the tremendous potential of
scientific data science for uncovering high-value research studies is a
significant and rarely discussed benefit of the transition to a fully
open-access publishing model.
