Conference on A FAIR Data Infrastructure for Materials Genomics
(https:/th.fhi-berlin.mpg.de/meetings/fairdi2020/)

FAIRness in data sharing and Big Data in materials science are urgent, important  scientific topics for this time and for the years to come. This Conference on a FAIR Data Infrastructure in Materials Genomics, addresses several facets of FAIR data infrastructures for materials science. It is organized by the association FAIR-DI e.V. (https://fair-di.eu) whose mission statement reads:

Scientific data are a significant raw material of the 21^st 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. This enables extensive data sharing and collaborations in data-driven sciences (including artificial intelligence tools) and advances basic science and engineering, reaching out to industry and society.

Topics of this conference include:

• FAIR Data Sharing and Infrastructures,
• Novel Materials Discovery,
• Metadata and Ontologies,
• NOMAD Encyclopedia,
• Artificial Intelligence Approaches for Materials Research.

The conference will take place from 3 to 5 June at the Harnack House, the Conference Venue of the Max Planck Society, in Berlin. Presently we plan to accept up to 70 participants in order to assure a loose packing of the lecture hall (less than 50% of the seats occupied).

For more information, please visit the conference web site: https://th.fhi-berlin.mpg.de/meetings/fairdi2020/

With best wishes -- Matthias Scheffler and Carsten Baldauf (organizers)