Reproducibility is a huge problem across all disciplines of science. As the analyses and algorithms become more complex in neurocritical care, it will be more and more difficult for researchers to standardize their algorithms and effectively communicate them to others. We have a unique opportunity to solve this issue early on before it gets out of hand. This poster highlights preliminary work on a method for standardizing analytics using a pallet of interoperable, modular, and simple functions (standard math operations or reference to a publication describing an algorithm). Each metric produced by this method is computed with a metadata string that describes how the metric was derived.