With a five-part training program for doctoral candidates, the University Library offers support throughout all stages of the doctoral process. In our 90-minute sessions, you will receive practical guidance on literature research and management, enhancing the visibility of research outputs, the publication process, and research data management.
The program is offered regularly across two semesters:
Winter Semester:
In this session, you will deepen the research and information retrieval skills acquired during your studies and apply them effectively to your dissertation topic. Participation is recommended during the initial phase of the doctoral program.
Contents:
Date: tba
Instructor: Dr. Cornelia Bögel
Reference management tools can be invaluable when working on a dissertation. This course introduces you to the effective use of Citavi for organizing and managing your sources. Participation is recommended during the initial phase of the doctoral program.
Contents:
Prerequisite: Basic knowledge of Citavi is required.
Date: tba
Instructor: Keyvan Djahangiri
Summer Semester:
This module provides an overview of strategies to enhance your academic visibility and research impact. Learn how key bibliometric indicators are measured and applied to your work. Gain practical experience using the major citation databases Web of Science and Scopus. Explore how academic identity management and scholarly social networks can strengthen the visibility of your research.
Recommendation: Prior participation in Module 1 is advised.
Date: 25 June 2025, 18:00–20:00
Instructor: Dr. Cornelia Bögel
Registration: via Stud.IP (Course number 72003 W)
This session is recommended for the advanced stages of your doctoral research.
Contents:
Date: 23 July 2025, 18:00–20:00
Instructor: Michael Zweier
Registration: via Stud.IP (Course number 72004 W)
Competent handling of research data is an essential aspect of good academic practice and should be considered at every stage of a research project. This session provides an overview of central topics in research data management, including secure and sustainable data storage, publishing research data, and strategies for discovering and reusing data.
Date: 13 August 2025, 18:00–20:00
Instructor: Anja Richter
Registration: via Stud.IP (Course number 72005 W)
