FAIRmat - A Proposed Consortium of the German Research-Data Infrastructure (NFDI)
Spokesperson: Claudia Draxl (Humboldt-Universität zu Berlin)
PARTICIPATION IN THE NFDI
Recommended by the Council for Information Infrastructures (RfII), an urgently needed sustainable infrastructure for provision, interlinkage, maintenance, and options for reuse of research data shall be created in Germany in the coming years. The needs and implementation of this National Research Data Infrastructure (NFDI), will be defined and realized by consortia from a wide variety of scientific disciplines. The consortium FAIRmat represents the interests of experimental, theoretical, and computational condensed-matter physics and materials science. This includes, for example, chemical physics of solids, catalysis, electron microscopy, x-ray spectroscopy and more. As a first step, an Extended Abstract was submitted to the DFG on March 29, 2019. The binding Letter of Intent was submitted on July 4, 2019. The proposal is due October, 15, 2019.
BECOME A PART OF FAIRMAT
Colleagues are invited to contribute their expertise and actively shape the necessary data infrastructures. If you would like to become part of FAIRmat, please register here. This list as well as this map of Germany shows you our supporting institutions and their location throughout Germany. The area for registered users is here.
Our approach and most important principle is to design the infrastructure of this field from bottom up and without bureaucratic hurdles. To this end, we will involve our colleagues in order to implement their needs make research studies more efficient, and to achieve a comprehensive acceptance of the project. The aim of FAIRmat is to improve, expand, and interlink existing infrastructures for the further development of these scientific disciplines and - where necessary - to create new infrastructures. Cooperation between universities and other research institutions as well as industry shall be strengthened.
FAIRmat, representing the materials science pillars of the association FAIR-DI (FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy e.V.), has already extensive practical experience and also follows FAIR-DI's mission statement:
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, FAIRDI sets out to make this happen. This enabling of extensive data sharing and collaborations in data-driven sciences (including artificial intelligence tools) will advance basic science and engineering, reaching out to industry and society.
FAIRmat covers the following (partially overlapping) areas:
- AREA A: Synthesis - Martin Albrecht, IKZ Berlin
- AREA B: Experimental Materials Science - Mark Greiner, MPI & Christoph Koch, HUB
in particular electron microscopy & spectroscopy, angle-resolved photoemission, core-level spectroscopy, optical spectroscopy. atom-probe tomography, scanning-probe microscopy, etc.
- AREA C: Computational Materials Science - Matthias Scheffler, FHI Berlin & Tristan Bereau, MPI for Polymer Research
in particular: ab initio calculations, classical simulations and multi-scale modeling, excitations, etc.
- AREA D: Use Cases / Functional Materials - Christof Wöll, KIT & A. Groß, U Ulm
in particular: batteries, heterogeneous catalysis, optoelectronics, magnetism & spintronics, artificial intelligence, etc.
- AREA E: Digital Infrastructure - Hans Bungartz, TU Munich & W. Nagel, TU and ZIH Dresden
in particular: metadata, central (meta)data server & GUI, processing, storage & compute concept, FAIRmat tools, connectivity, etc.