FAIR-DI e.V.
FAIRmat
NOMAD Laboratory
NOMAD CoE

Monthly FAIR-DI – FAIRmat Colloquium

 

Hans-Joachim Bungartz talked about Providing Infrastructure for the Infrastructure
at our latest colloquium on April 7, 2022! - Video available here

Naturally, the Computational Sciences, or Computational Science and Engineering, show a significant need for computational infrastructure – be it a classical HPC infrastructure (simulation and optimization), a data infrastructure (data access and management), or a data analytics infrastructure (artificial intelligence and machine learning). While these differ in the concrete underlying hardware, software, and expertise as well as in the way how they are organized and provided, there are also large similarities. For example, obviously, it is not sufficient to put hardware on the table; however, it also cannot work without hardware being put on the table.

In Germany, the NFDI – National Research Data Infrastructure – has been established to create such an infrastructure for the provision of, access to, and usage as well as processing of research data. While the NFDI is organized in domain-aligned nation-wide consortia, there are a lot of topics that pop up in various consortia. As a consequence, each consortium that is part of the NFDI needs infrastructure itself, to be organized either by itself or in cross-consortia collaborations – an infrastructure within and for the infrastructure. This holds in particular for FAIRmat, where the infrastructure branch forms one of seven areas.

In his talk, Hans-Joachim Bungartz will  address a couple of general considerations [aspects of a research data infrastructure (RDI); generic vs. domain-specific; central vs. distributed vs. local vs. federated; embedding into existing other infrastructures] and give an overview of what is planned and what currently happens on the behalf of RDI in the FAIRmat consortium.

About the Colloquium Series

The FAIR-DI – FAIRmat Colloquium series is dedicated to topics in the broad field of building, operating, enhancing, and using a FAIR data infrastructure for condensed-matter and chemical physics of materials. You can watch the talks by Barend Mons, Christoph Koch, and Hans-Joachim Bungartz here: https://youtube.com/playlist?list=PLrRaxjvn6FDWHMwva59AWslyoaPM7sdjP

About FAIRmat and FAIR-DI e.V.

FAIRmat is a consortium of the German Research-Data Infrastructure (NFDI), which was selected for funding in 2021. You can read the press release of the funding decision by the Joint Science Conference (GWK) here: https://www.gwk-bonn.de/presseaktuelles/pressemitteilungen.

FAIRmat is the materials-science component of the association FAIR-DI e.V. (FAIR Data Infrastructure for Physics, Chemistry, Materials Science, and Astronomy e.V.), which started more than 2 years ago as a German-Dutch initiative. For the fields of computational and experimental materials science, chemistry, and astronomy, FAIR-DI e.V. sets out to build a FAIR data infrastructure that 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.