The course includes lectures on literature reviews, searching literature, data management, strategic publishing, scientific communication, publishing ethics, and bibliometrics. The rapid development of generative AI tools has significantly impacted research practices. As a result, the course includes sessions on appropriate and inappropriate uses of AI throughout the research process.
The course will give you a good foundation for your thesis work and consists of a series of independent lectures. If you complete the entire course, you will receive a diploma. The university library lacks formal examination rights, but the course corresponds to 3 hp credits. If you want, you are also welcome to submit an assignment for examination.
Course details
- The course is given in English.
- The course includes lectures at seven Wednesday afternoons in November and December.
- All sessions are held online via Teams.
- The course is organized by the university library.
- It is possible to attend individual lectures without taking the entire course.
Registration conditions
- The course is free of charge for PhD students.
- As a participant in the entire course, you will have access to a Lisam room with information resources.
- If you attend all sessions, you will receive a diploma, and get the possibility to submit an assignment for examination.
Lectures:
- Course introduction, and introduction to open science and AI, 45 min
- Literature searching, 90 min
- Literature reviews, 60 min
- Data management, 90 min
- How to be strategic in publication and dissemination, 90 min
- Publication ethics, copyright, AI & plagiarism, 60 min
- Bibliometrics: How to measure research impact, 60 min
