Materials science stands at the confluence of several disciplines. Research topics range from latest quantum mechanical insights into the behavior of electrons in complex systems to large-scale processing of billions of tons of material (concrete, steel) and materials exposed to harsh environmental conditions (catalysts, corroding products). Developing data-centric methods to leverage disruptive progress in this field must, therefore, reflect and embrace this heterogeneity in the underlying data from which knowledge can be extracted, combined and used.