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960027 VU Basics of Research Data Management and Open Science (2024W)
Continuous assessment of course work
Labels
MIXED
Hierbei handelt es sich um ein kostenpflichtiges Angebot der Universitätslehrgänge/Zertifikatskurse des Postgraduate Center. Bitte beachten Sie, dass für die Teilnahme eine Zulassung zum Universitätslehrgang/Zertifikatskurs erforderlich ist. Weitere Informationen zu den Angeboten des Postgraduate Center finden Sie unter: https://www.postgraduatecenter.at/
Details
Language: German
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
There is no written examination. The participants are expected to study set reading materials and the contents covered in class in order to successfully complete the assignments. Further information will be provided in Moodle well in advance.
Minimum requirements and assessment criteria
Three written assignments in Moodle. Grading Key:
1 (excellent) 25-23 points
2 (good) 22.9-20 points
3 (satisfactory) 19.9-16 points
4 (sufficient) 15.9-13 points
5 (insufficient) < 13 points
1 (excellent) 25-23 points
2 (good) 22.9-20 points
3 (satisfactory) 19.9-16 points
4 (sufficient) 15.9-13 points
5 (insufficient) < 13 points
Examination topics
The participants are expected to study set reading materials and the contents covered in class in order to successfully complete the assignments.
Reading list
The reading list including relevant journal articles and book chapters will be assigned in connection with the session topics and made available through Moodle.
Association in the course directory
Last modified: Fr 09.08.2024 11:26
Role and tasks of data stewards
Good scientific practice
Legal and ethical aspects
Cost estimation and financing modelsLearning Outcomes: Understand the most important concepts of research data management, open science and research as well as data literacy; Understand the rules of good scientific practice, as well as ethical aspects and the legal framework of data management; Create budget plans and financing models for the management and permanent storage of research data; Analyze the role and typical tasks of data stewards