Our path to better science in less time using open data science tools


GrowingReproducibility has long been a tenet of science but has been challenging to achieve — we learned this the hard way when our old approaches proved inadequate to efficiently reproduce our own work. Here we describe how several free software tools have fundamentally upgraded our approach to collaborative research, making our entire workflow more transparent and streamlined. By describing specific tools and how we incrementally began using them for the Ocean Health Index project, we hope to encourage others in the scientific community to do the same—so we can all produce better science in less time.

In Nature Ecology & Evolution.

More detail can easily be written here using Markdown and $\rm \LaTeX$ math code.