A little while ago, I gave a talk about the promises and challenges of high performance computing for biodiversity sciences. Because I wanted to go beyond “having more cores means we can run more model replicates”, I started by discussing the availability of data on Canadian’s biodiversity, and how we can do data-driven research. Long story short, unless we like birds, we can’t.

In this follow-up to the previous part of the manuscript on computational ecology, I explore some of the ways to facilitate collaborations between data users and data producers. You can read the first part to get up to speed, and then feel free to comment and give feedback.