FAIRmat - A Proposed Consortium of the German Research-Data Infrastructure (NFDI)
Spokesperson: Claudia Draxl (Humboldt-Universität zu Berlin)
Deputy: Matthias Scheffler (Fritz-Haber-Institut der MPG and HU Berlin)
PARTICIPATION IN THE NFDI
Recommended by the Council for Information Infrastructures (RfII), a 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.
FAIRmat RESPONDS TO AN URGENT NEED
Efficient sharing of research data and their preparation for artificial intelligence (AI) analysis enable a new level, a new quality of science.
The consortium FAIRmat meets the interests of experimental and theoretical condensed-matter physics. This also includes, for example, chemical physics of solids, synthesis, and high-performance computing. All this is demonstrated by use cases from various areas of functional materials. The necessity of a FAIR data infrastructure in the FAIRmat research field is very pressing. We need and want to support the actual, daily research work to further science. Besides storing, retrieving, and sharing data, a FAIR data infrastructure will also enable a completely new level of research. FAIRmat covers the community as represented by the whole Condensed Matter Section (Sektion Kondensierte Materie, SKM) of the German Physical Society (DPG). This includes the chemical physics of condensed matter which is also organized in the Bunsen Gesellschaft and the GDCh.
FAIRmat has participated in the NFDI Conference 2020, and is currently working on the proposal that must be submitted by the end of September 2020. The 20-minute presentation by Spokesperson Claudia Draxl from June can be watched 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 for making 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 are strong already and will be strengthened further.
FAIRmat, representing the condensed-matter and chemical-physics activities 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 is supported by numerous research institutions which have confirmed their support or cooperation through a statement. Here are some examples:
FAIRmat is an initiative that originated in the Condensed Matter Section (SKM) of the German Physical Society and was significantly influenced by SKM scientists, but now extends far beyond physics. The SKM acknowledges the already impressive interdisciplinary experience and success of the FAIRmat initiative and strongly supports the application for a NFDI consortium. We look forward to continuing our close cooperation with FAIRmat.
(Erich Runge and Martin Wolf, Spokespersons of SKM)
FAIRmat brings together leading domain scientists with IT experts and cutting edge IT infrastructure. The agenda of the FAIRmat proposal paves the way to a new data-driven materials science, where research data from experiments, computations, and synthesis can be accessed, seamlessly analyzed, and hence exploited for the understanding of existing and the design of new materials. This will open completely new paths to insight in materials science. In addition to this scientific perspective, FAIRmat can also become a blueprint for other domains, which shows the strategic perspective of FAIRmat.
(Gerhard Kramer, Senior Vice President for Research and Innovation at the Technical University of Munich)
BECOME A PART OF FAIRMAT
FAIRmat is building a strong community - in Germany and worldwide - so that FAIRmat reaches and serves the entire condensed-matter and chemical-physics communities. Colleagues are invited to contribute their expertise and actively participate in the creation of the necessary data infrastructure.
FAIRmat covers the following areas:
- AREA A: Synthesis - Martin Albrecht (Leibniz Institute for Crystal Growth Berlin) & Claudia Felser (Max Planck Institute for Chemical Physics of Solids)
- AREA B: Experimental Materials Science - Mark Greiner (Max Planck Institute for Chemical Energy Conversion) & Christoph Koch (Humboldt-Universität zu Berlin)
- AREA C: Computational Materials Science - Matthias Scheffler (Fritz-Haber-Institut der MPG and HU Berlin) & Kurt Kremer (Max Planck Institute for Polymer research) / Tristan Bereau (Max Planck Institute for Polymer Research)
- AREA D: Digital Infrastructure - Hans-Joachim Bungartz (Technical University of Munich) & Wolfgang Nagel (Centre for Information Services and High Performance Computing (ZIH))
- AREA E: Use Case Demonstrators - Christof Wöll (Karlsruhe Institute of Technology) & Axel Groß (Ulm University)
- AREA F: User Support, Training & Outreach - Matthias Scheffler (FAIR-DI e.V. ) & Martin Aeschlimann (TU Kaiserslautern)
- AREA G: Administration & Coordination - Claudia Draxl & Matthias Scheffler (both FAIR-DI e.V.)