Today, big data and AI revolutionize various aspects of life, including materials science. To navigate this 4th paradigm successfully, researchers must embrace new research concepts, and this Roadmap on Data-Centric Materials Science provides a summary of ideas for exploring the data-centric landscape of materials science and engineering. As materials science is a very broad and interdisciplinary field, only some areas of this landscape can be covered. However, we trust that the addressed examples explicate many of the basic concepts and that they can be helpful also for other topics than those addressed explicitly in the different contributions.