PhD Courses in Denmark

The course will introduce the scientific code of conduct and data management. The course ensures that these topics are discussed by the student and the supervisor. The course ensures that the student makes a data management plan for the PhD project.

A student who has met the objectives of the course will be able to:

• Describe generally the content of the Danish code of conduct for research integrity
• Discuss what honesty and transparency is in the context of the scientific code of conduct
• Describe common standards for attribution of (co-)authorships in scientific publications
• Explain what is meant by plagiarism and self-plagiarism
• Explain what is meant by scientific misconduct
• Explain the FAIR principles
• Describe motivations for making a data management plan
• Make a data management plan for a scientific project

For a modern scientist, it is mandatory to be familiar with the scientific code of conduct to be able to act according to this. This course introduces the scientific code of conduct as described in the ‘Danish Code of Conduct for Research Integrity’ and as understood in the context of DTU. As part of the course, the student will discuss these topics with the supervisor and write a data management plan (DMP) for the PhD project. To pass the course, the student should do the following: 1. Attend DTU Library’s course Introduction to responsible conduct of research and research data management for new employees. Find more info at the library’s course site: https://www.bibliotek.dtu.dk/en/use-the-library/courses 2. Read • the ‘Danish code of conduct for research integrity’ • DTU’s ‘Guidelines for avoiding plagiarism and self-plagiarism in PhD thesis writing’ • www.deic.dk's intro to data management 3. The student should arrange a meeting with the main supervisor, where the student should a. describe what the scientific code of conduct is, including what honesty, transparency, and accountability means in this context; b. describe and discuss the guidelines for attribution of (co-)authorships in scientific publications; c. describe what is meant by plagiarism, self-plagiarism and scientific misconduct; d. explain the FAIR principles; e. discuss where data from PhD project should be stored and in what format; see section 3.1 in the DMP template; f. discuss what kind of metadata that should be stored; see section 3.2 in the DMP template; g. discuss to what extent and how the data will be published; see section 4 in the DMP template; h. estimate the costs for open access; see section 5 in the DMP template. 4. Fill in the DMP template (https://www.inside.dtu.dk/-/media/dtu-inside/institutter-og-centre/energi/phd/data-management-plan-template-for-phd-projects.docx) and send the final DMP to the main supervisor to get it approved. 5. Save the DMP in your project folder on the O-drive. Consider whether the DMP should be published, for example at DMPonline: https://dmponline.deic.dk/, and ask your main supervisor to inform the course responsible by email that you have completed all activities in the course, so that the course completion can be registered. The e-mail should include course number, name of student and the student’s study number. For support or questions regarding data management you are welcome to contact the department’s data management responsible, Karin Vels Hansen, karv@dtu.dk