Scientific data are a significant raw material of the 21st century. To exploit its value, a proper infrastructure that makes it Findable, Accessible, Interoperable, and Re-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.