NFDI4Ing Online-Workshop: Research Data Management for Data from HPC



Save the date – NFDI4Ing Online-Workshop on March 28, 2023: Research Data Management for Data from HPC

Would you like to manage your research data produced at HPC computing centers more efficiently? Then join our online-workshop

When?               Tuesday, March 28, 2023, 13-17 pm

Where?              Online via Zoom

Who?                 Users of HPC computing centers producing large amount of (immobile) data; personnel in research data management and everyone who is interested (no mandatory requirements).

The participation might be recognized as qualification for doctoral candidates at your graduate center.


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

**Language: English

**Free of charge

You will learn how to structure, document and publish your research data and which tools and resources can support you. This workshop will introduce researchers to the basics of research data management (RDM) as well as tools and systems available at different HPC centers (e.g. JSC, HLRS, LRZ). You will earn knowledge of tools and services for data and metadata collection, storage, publication and transfer of large data.

This supports bookkeeping in your own research, exchange with colleagues in your group and dissemination and use of research data with external partners. Publishing research data along journal publications will soon become commonplace and will allow for a wider range of use of comparative research data within the course of your PhD.



General Contact and further information