Scientific data are a significant raw material of the 21st
century. To exploit its value, a proper infrastructure that makes it F
nteroperable, and R
e-purposable – FAIR
– is a must. For the fields of computational and experimental materials science, chemistry, and astronomy, FAIR-DI e.V. sets out to make this happen. Such data infrastructure enables extensive data sharing and collaborations in data-driven sciences, including artificial intelligence, and it expands basic science and engineering. FAIR-DI engages with scientists across generations to promote innovations and further careers, and it reaches out to industry and society.
MPCDF is founding member of the association and supports all Max Planck Institutes involved includig the Fritz Haber Institute and the MPI for Polymer reseach.