🎓 🔗 Supercomputing Academy: Data Management

The module data management provides an introduction to the topic of data and familiarizes you with the basics. Dr. Thomas Bönisch's team (HLRS) will also guide you through the technical fundamentals, ontology and model design of metadata as well as the methods and tools for handling data in repositories. Finally, the topics of dark data and data responsibility will be discussed. The course also offers an opportunity for an intensive exchange with the lecturers and other course participants.

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

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Agenda

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

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

• The kickoff session is scheduled for Tuesday, November 4, from 14:00 to 16:00 . All seminars are held via Webex.
• Seminars to discuss the content of weeks 1-4 (up to two hours each week) will be scheduled with participants during the kickoff session.
• The exam is scheduled for Friday, December 12. 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 here.