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FID3215 Management of Scientific Data at Scale 3.0 credits

This course is designed for upcoming computational scientists who use high-performance computers for their research. It covers various aspects of data management to cover the full life cycle of scientific data.

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FID3215 (Spring 2024–)
Headings with content from the Course syllabus FID3215 (Spring 2024–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

The course will be offered as a one-week block course involving lectures, discussion and lab sessions. There will be assignments to be provided after the course.

Course contents

  • Introduction to data management
  • FAIR principles
  • Data formats
  • Principles of metadata
  • Technologies relevant to metadata
  • Data provenance
  • Introduction to I/O and storage
  • Storage architectures and technologies
  • Storage and I/O user tools
  • I/O performance optimisation
  • Data governance
  • Data security
  • GDPR compliance
  • Data management frameworks
  • Distributed data infrastructures

Intended learning outcomes

  • List the FAIR principles and examine their application
  • Use of different data formats
  • Describe metadata concepts and apply standardisation methods
  • Explain data provenance and relate it to data produced in the own research
  • Describe storage architectures (including their environmental footprint) and debate the impact on scientific workflows
  • Recall data protection principles and apply these to selected use cases
  • Provide an overview of distributed data infrastructures

Literature and preparations

Specific prerequisites

None

Recommended prerequisites

None

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Examination, 3.0 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

The examination will be based on the assignments

Other requirements for final grade

None

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Supplementary information

None

Postgraduate course

Postgraduate courses at EECS/Computational Science and Technology