  Data is a crucial raw material of this century, and the amount of data that
has been created in materials science in recent years and is being created
every new day is immense. Without a proper infrastructure that allows for
collecting and sharing data (including the original data), the envisioned
success of materials science and, in particular, Big-Data driven materials
science will be hampered. For the field of computational materials science, the
NOMAD (Novel Materials Discovery) Center of Excellence (CoE) has changed the
scientific culture towards a comprehensive and FAIR data sharing, opening new
avenues for mining Big-Data of materials science. Novel data-analytics concepts
and tools turn data into knowledge and help the prediction of new materials or
the identification of new properties of already known materials.
