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.

2020S, VO, 2.0h, 3.0EC
TUWEL

Properties

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

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)

Mode of examination

Written

Additional information

Data Stewardship Lecture

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Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon12:00 - 14:0002.03.2020Seminarraum Argentinierstrasse Vorbesprechung - Introduction
Mon12:00 - 14:0009.03.2020Seminarraum Argentinierstrasse Lectures

Examination modalities

Written exam

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Mon12:00 - 14:0017.06.2024EI 3 Sahulka HS - UIW written01.04.2024 00:00 - 05.06.2024 23:59TISSExam 1
Mon13:00 - 15:0017.06.2024Informatikhörsaal - ARCH-INF written01.04.2024 00:00 - 05.06.2024 23:59TISSExam 1

Course registration

Begin End Deregistration end
04.02.2020 12:00 09.03.2020 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