As an example, one could consider the sheer amount of information (i.e. anthropic descriptors) that is hosted on e.g. the Materials Project (MP) for a number of electrode materials: specific and volumetric capacities, volume changes upon (de)lithiation, the whole voltage profile of each electrode material, together with other relevant, less domainspecific properties like stability. All this is calculated by first principle methods. Databases like MP or NOMAD provide a significant step forward in terms of efficiency and provide homogeneous data-sets both opening to statistical analyses on materials' anthropic descriptors, and to a new screening paradigm: the use of data-driven descriptors.