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Scientific Data Management

Type Weekly Lecture
Term SS 17

The lecture will give a practical introduction into the data management in scientific applications (e.g., in life sciences or engineering). In addition to the theoretical foundations, the participants will learn to use state-of-the-art technologies to manage large scale data sets.


  • Introduction to data-intensive scientific applications
  • Metadata management & extraction
  • Data modeling & integration
  • Semi-structured data management
  • Management & organization of scientific workflows
  • Data ownership, privacy, security


Good knowledge of database systems in theory and practice is required.

Course dates

Meeting typeDate/TimeRoomStarting on
Lecture Wednesday, 16:15 - 17:45 5053.2 19. April 2017
Friday, 10:15 - 11:45 5053.2 21. April 2017
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