Universität Wien

301598 SE Research Data Management in Life Sciences (2024S)

1.00 ECTS (1.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 24 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

The seminar will take place fortnightly 10:00 - 11:15 Uhr in the UBB seminar room 1.2:
5.3. (first meeting in Moodle only at 10am)
16.4.
23.4.
7.5.
21.5.
4.6.
18.6.

  • Tuesday 05.03. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 19.03. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 09.04. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 16.04. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 23.04. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 30.04. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 07.05. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 14.05. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 21.05. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 28.05. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 04.06. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 11.06. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 18.06. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1
  • Tuesday 25.06. 09:45 - 11:15 Seminarraum 1.2, Biologie Djerassiplatz 1, 1.004, Ebene 1

Information

Aims, contents and method of the course

The students are able to explain objectives and methods of research data management. The students are able to select and use computational tools for data management and reproducible data processing.
Main topics:
- Research data management
- Repositories (e.g. GitHub)
- Workflow languages (e.g., snakemake, nextflow)
- Containers (e.g., Docker, Singularity)

Assessment and permitted materials

Students actively participate in the seminar discussions. Students prepare one presentation. Students work on exercise assignments in groups.

Minimum requirements and assessment criteria

Three successful submissions of exercise assignments.

Examination topics

What is Research Data Management (RDM)?
Data management plans
Organization of data
Documentation and annotation of data
Storing and securing of data
Publishing and archiving of data
Ethical and legal aspects of RDM
Techniques for reproducible computational analysis
Software repositories
Workflow languages
Software containers

Reading list

Will be provided during the seminar.

Association in the course directory

MMB II., MMEI II-1.2, MMEI II-2.2, MNEU V.

Last modified: Mo 15.07.2024 13:26