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Abstract:
The enormous amounts of research data produced in condensed-matter physics, chemistry, and materials science every day represent a gold mine for science, engineering, and society. This gold mine is, however, of little value, if these data are not comprehensively characterized and made available. How can we refine this feedstock, i.e., turn data into knowledge and value? A FAIR data infrastructure is a must, and in this spirit, the Novel Materials Discovery (NOMAD) Laboratory has established a user-driven platform for sharing computational materials science data to enable their re-use and exploitation.
