194.044 Data Stewardship
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VO, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to:

- explain research data lifecycle
- create a Data Management Plan
- apply FAIR principles in practice
- differentiate between difference license types
- explain what persistent identifiers are
- review existing data management practices
- represent information using machine-actionable DMP
- discuss differences between repository systems
- explain how findability and interoperability of data can be achieved
- describe components of an Research Data Management infrastructure
- describe the scope of RDM policies and how they drive DM activities and
obligations
- describe ways to certify a repository and to evaluate certification criteria 
- implement reproducible experiments
- explain challenges in digital preservation
- identify significant properties of digital objects and create preservation plans
- explain the role of the OAIS and apply it correctly when developing digital archives

Subject of course

  • Reproducible Research
  • Machine-actionable Data Management Plans
  • Research Data Managenent Services,
  • Data Identification and Citation
  • Digital Preservation Challenges, Preservation Actions
  • ISO OAIS Standard
  • Preservation Planning
  • Repository Systems
  • Repository Certifciation
  • FAIR principles

ECTS/Aufwand:

ECTS/Effort:

Lectures: 10 sessions @ 2h: 20h

Literature: Scientific Papers, Standards, etc.: 24h

Exam Preparation: 30h

Exam: 1h

TOTAL: 75h

Teaching methods

Lectures and self-study (reading materials, videos, etc)

As restrictions were lifted recently the lectures will beheld in presence. Should new restrictions on presence-teaching be imposed we will return to live-streaming of the lectures via Zoom. In that case  links to the Zoom sessions will be provided in TUWEL.

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon12:00 - 14:0006.03.2023 - 26.06.2023FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Data Stewardship - Single appointments
DayDateTimeLocationDescription
Mon06.03.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon13.03.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon20.03.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon27.03.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon17.04.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon24.04.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon08.05.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon15.05.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon22.05.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon05.06.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon12.06.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon19.06.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship
Mon26.06.202312:00 - 14:00FAV Hörsaal 1 Helmut Veith - INF Data Stewardship

Examination modalities

Written exam (closed book) - most likely as a a presence exam. If the pandemic situation should require a return to on-line teaching e, we would also switch the exam to an on-line mode. In case of low enrollment, the exam can also be conducted orally.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon12:00 - 14:0010.06.2024GM 5 Praktikum HS- TCH written01.04.2024 00:00 - 05.06.2024 23:59TISSExam 1

Course registration

Begin End Deregistration end
24.02.2023 15:00 01.06.2023 23:59 19.03.2023 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
066 646 Computational Science and Engineering Not specified
066 926 Business Informatics Mandatory elective
066 936 Medical Informatics Mandatory elective
066 937 Software Engineering & Internet Computing Mandatory elective

Literature

No lecture notes are available.

Language

English