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.
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–)Content and learning outcomes
Course disposition
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
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
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
Offered by
Main field of study
Education cycle
Supplementary information
None