HLRS High Performance Computing Center Stuttgart: Supercomputing Academy: Data management

Prerequisites and content levels

Prerequisites

Proficient in the use of spreadsheet (e.g., Microsoft Excel or LibreOffice Calc).
Proficient in the use of word processing (e.g., Microsoft Word or LibreOffice Writer) programs.

Technical prerequisites

A stable internet connection is recommended for working on the learning content and exercises.
You will also need access to a video conferencing tool with a camera and microphone. For quality reasons, a headset is recommended.

Content levels

Beginners: 20 hours
Intermediate: 12 hours
Advanced: 8 hours

Learn more about course curricula and content levels.

Target audience

This course is intended for, but is not limited to, the following groups:

Development Engineers
CAE, Calculation, and Simulation Engineers
System designers
People interested in simulation
IT administrators
IT managers
Computer Scientists
People interested in IT

Learning outcomes

After completing this course, participants will:

understand the basic terms relating to data
understand the technical basics of data management
know about ontologies and models of metadata
be able to apply methods and tools for dealing with repositories
be aware of data responsibilities with regard to dark data

Instructors

Dr.-Ing. Thomas Bönisch (HLRS)	Manuela Wossough (HLRS)
Volodymyr Kushnarenko (HLRS)	Nina Buck (HLRS)

Agenda

Week 1: Technical basics of data management
Week 2: Repositories & Dark Data
Week 3: Metadata
Week 4: Exercise on repositories

Dates for the seminars and exam (All times are CET).

The kickoff session is scheduled for Tuesday, November 3, from 14:30 to 16:00 . All seminars are held via Webex.
Seminars to discuss the content of weeks 1-4 (up to 90 minutes each week) are scheduled each Tuesday from 14:30 to 16:00.
The exam is scheduled for Friday, December 11. You may take the 2.5-hour exam at any time between 06:00 and 23:00. Please note that the official course dates only reflect the course weeks, not exam preparation time or the exam itself.

Registration information

Apply for this course via the button at the top of this page.

Registration closes on 29 October 2026.

Late applications after the registration phase are still possible according to the course capacity. For late applications we can not guarantee an ILIAS account by the course start.

Fees

Employees of the HLRS or the Jülich Supercomputing Centre (JSC) or the Leibniz Supercomputing Centre (LRZ): 0 Euro
Students without master’s degree or equivalent at a university or public research institute in an EU, EU-associated or PRACE country: 0 Euro
Students without master’s degree or equivalent at a university or public research institute outside of EU, EU-associated or PRACE countries: 55 Euro
PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country: 0 Euro
PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries: 505 Euro
Public service providers, or government (other than universities and public research institutes): 865 Euro
Other participants, e.g. from industry: 1370 Euro

For lists of EU and EU-associated coutries, and PRACE countries have a look at the Horizon Europe and PRACE website.

HLRS concept for flexible learning

Flexible learning

This course offers flexible learning, allowing you to learn at your own pace and access online course materials and cluster resources. Web-seminars are held weekly to discuss the learning modules and to answer your questions. We also provide forum channels that enable you to communicate with the lecturer and peers, as well as to share your experiences.

Learning duration

The course is divided into multiple learning units of 10 hours each. Participants can learn the individual learning content on their own schedule. In addition, this course has fixed dates for virtual seminars and the exam.

Course certificate & confirmation of participation

Upon completion of the course survey by the participant, the High-Performance Computing Center (HLRS) issues a confirmation of participation if they hand in at least 50% of the assignments. Participants who additionally pass the exam at the end of the course receive a course certificate.

Technical requirement

Stable Internet connection so you can access and download the learning materials.
Access to video conferencing tool with camera and microphone for participation in regular seminars.

Contact

Lucas Jordan (HLRS) tel: +49 711 685-87206 training(at)hlrs.de

HLRS Training Collaborations in HPC and AI

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. SIDE is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.
Since 2025, HLRS has been coordinating one of the AI Factories of the EuroHPC JU: HammerHAI.

Acknowledgements

The data management module was developed within the project SDC4Lit (Science Data Center for Literature), funded by the Ministry of Science, Research and the Arts Baden-Württemberg (MWK). The exercise repository was made possible by NFDI4Cat 2.0, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), project number 441926934.

The acquisition and operation of the EuroHPC AI-optimised supercomputer is funded jointly by the EuroHPC Joint Undertaking, through the European Union’s Digital Europe Programme, as well as by the German Federal Ministry of Research, Technology and Space (BMFTR) and the Baden-Württemberg Ministry of Science, Research and the Arts.
Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the EuroHPC JU. This project has received funding from the European High Performance Computing Joint Undertaking under grant agreement No. 101234027. It is co-funded by the European Commission, the German Federal Ministry of Research, Technology and Space (BMFTR), the Baden-Württemberg Ministry of Science, Research and the Arts, the Bavarian State Ministry of Science and the Arts and the Lower Saxony Ministry of Science and Culture.