We aim at proposing a project for creating, collecting, and making available datasets to enable the research and development of novel data-driven methods for prognostics and health management of batteries, including the estimation of state-of-charge and state-of-health, prediction of remaining useful life, and health-aware battery management. The idea is to work is two fronts: first, we can collect, and perform the editorialization of the already available datasets of batteries; second, to produce our own datasets and make them available for the community.