Training

We offer you various forms of training in research data management. All courses are free. In winter semester 2024/25, you can register for all courses in the course database (category "Wissenschaftsorganisation", login with u:account).

General open trainings

Those courses are free for academic and non-academic staff.

  • 09.10.2024, 9:00-12:00, Introduction to Research Data Management in the Social Sciences, English, online
  • 15.10.2024, 9:30-11:30, Einführung ins Repositorium PHAIDRA, German, online
  • 24.10.2024, 10:00-13:00, Datenmanagementpläne schreiben, German, online
  • 29.10.2024, 09:30-11:00, Einführung in Transkribus, German, online
  • 20.11.2024, 9:00-12:00, Introduction to Research Data Management in the Social Sciences, English, online
  • 26.11.2024, 9:30-11:30, Introduction to the PHAIDRA Repository, English, online
  • 05.12.2024, 10:00-12:00 and 13:00-15:00, Research Data Management at the University of Vienna, English, online
  • 12.12.2024, 9:00-12:00, Creating Data Management Plans, English, online
  • 14.01.2025, 9:30-11:00, Introduction to Transkribus, English, online
  • 15.01.2025, 14:00-17:00, FDM Spezial: Bilddaten, German, on-site (new format!)

Trainings for Master and PhD students in the humanities

Poster with an course overview in German and English (PDF)

Introductory Courses

We offer introductory courses in research data management for PhD students in the humanities. he courses are also open for master students with a special interest. After these introductory courses, you can arrange individual sessions for your personal questions. Courses in winter semester 2024:

  • 15.11.2024, 09:00-12:00, Research Data Management for PhD Students in the Humanities, English, online
  • 10.12.2024, 14:30-17:30, Forschungsdatenmanagement für Doktorand*innen in den Geisteswissenschaften, German, on-site
  • 25.02. und 27.02.2025, 9:00-11:00, Forschungsdatenmanagement für Doktorand*innen in den Geisteswissenschaften, German, online (in two parts)

RDM Bites

In the winter semester 2024/25, we will offer the short format RDM Bites for the first time: After a 20-minute introduction to a certain topic, you can ask questions and/or apply what you have learned to your own data. All dates online, German/English as required. Bring your laptop!

  • 06.11.2024, 16:00-18:00: Data Organisation, German/English (as required), online
  • 03.12.2024, 14:00-16:00: Data Protection and Intellectual Property Law, German/English (as required), online
  • 10.01.2025, 10:00-12:00: Archiving and Repositories, German/English (as required), online

Courses for doctoral students from all faculties

If you don't write your dissertation in the humanities, but in a related discipline, and want to take part in a course, please contact us beforehand. Usually it's no problem. You could also take part in one of the trainings for doctoral students from all faculties:

  • 11.11.2024, 10:00-13:00, Research Data Management for PhD Students, English, online
  • 22.01.2025,10:00-13:00, Research Data Management for PhD Students, English, online

The trainings take place via Moodle and Zoom or on-site. All doctoral students can take part regardless of which phase their dissertation is in, and they don't need to be employed by the university.

Individual trainings

If you need training with an discipline-specific focus or training for specific questions from your project or department, please contact us to speak about the details. These courses are free for university employees and students. If they take place within a research project, also members of the project partners can take part. By answering the three questions on our website "Build a Custom Workshop", you can define an individual training for your needs and send us a request. Examples:

  • ten-minute presentation of the research data management policy and the data stewardship programme at a staff meeting
  • half-hour introduction to data management planning for FWF projects
  • two-hour hands-on workshop on data organisation and documentation
  • two-hour workshop on the most important FDM services of the University of Vienna
  • guest lecture as part of a course for Master's students or doctoral candidates, etc.