There are hurdles to widespread adoption of open science practices, to be sure. Researchers need proper training on data management plans, reuse licensing and other good open science hygiene. Infrastructure must be developed and nurtured to preserve scientific data, curate it and render it actionable. And organizations must overcome their natural entropy, which makes tackling big, cross-cutting initiatives like open science challenging. While these obstacles are nontrivial, they are small in comparison to the scientific, economic, and societal benefits of open. In a moment of great peril, maintaining the status quo will ultimately prove more costly.