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NFDI4Ing Workshop on RDM in HPC & Measurement

Event |

NFDI4Ing brings together the engineering communities and fosters the management of engineering research data. The goal of the consortium is to represent engineers from all disciplines. It offers a unique method-oriented and user-centred approach in order to make engineering research data FAIR. The NFDI4Ing (online) workshop for Research Data Management in High Performance Computing & Measurement is taking place on Wednesday, April 06, 2022 in the afternoon – free and open to all.

During this workshop, we will present updates and current developments within research data management (RDM) for high-resolution and high-performance measurements and simulations on high-performance computing systems. Our focus will be on large and immobile data which is generated on (national) tier 1 computing centers (HLRS, JSC, LRZ). We will introduce RDM-tools and report latest developments within NFD4Ing and the respective research data infrastructure.

Content

  1. Hardware systems, storage systems, data transfer tools at tier 1 HPC centres
    • SuperMUC-NG, Hawk, JUWELS & JURECA, backup and archiving, UFT, GridFTP, Globus Online, data containers (e.g. LRZ DSS)
  2. Basics in research data management
    • FAIR data principles, metadata & terminology, repositories, identifier (DOI), licenses, best-practices
  3. Research data management tools and services at tier 1 HPC centers
    • Metadata standards, metadata crawling, interfaces, repositories, containerization, FAIR HPC data, B2SHARE, InHPC-DE etc.
  4. Consortium NFDI4Ing, outlook and discussion

Lecturers & Institutions

  • High Performance Computing Center Stuttgart (HLRS): Dr.-Ing. Thomas Bönisch, Nadiia Huskova, Volodymyr Kushnarenko
  • Jülich Supercomputing Centre (JSC): Sander Apweiler
  • Leibniz Supercomputing Centre (LRZ): Dr. Stephan Hachinger, Stephan Peinkofer
  • Technical University of Munich (TUM): Prof. Dr.-Ing. Christian Stemmer, Benjamin Farnbacher, Nils Hoppe, Vasiliki Sdralia

 

Further information, registration and updates:
https://www.epc.ed.tum.de/en/aer/news-events/news/article/workshop/

 

Target audience

This workshop is addressed at users actively working at the (national) tier 1 computing centres; researchers with large, immobile data; personnel in research data management and everyone who is interested (no mandatory requirements).

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