Guidelines
Table of contents
- The German Research Foundation’s (DFG) Guidelines for Safeguarding Good Research Practice
- TU Dresden Statutes for Ensuring Good Scientific Practice, Avoiding Scientific Misconduct, and Handling Violations
- TU Dresden Guidelines for handling research data
- Position of the Extended University Executive Board of the TUD on the use of text-generating AI systems such as ChatGPT at the TU Dresden dated 28.03.2023
The German Research Foundation’s (DFG) Guidelines for Safeguarding Good Research Practice
The German Research Foundation’s (DFG) Guidelines for Safeguarding Good Research Practice Code of Conduct aims to embed a culture of research integrity in the German academic landscape. 19 guidelines describe appropriate standards for research supplemented by practice-oriented explanations.
TU Dresden Statutes for Ensuring Good Scientific Practice, Avoiding Scientific Misconduct, and Handling Violations
All members and staff of TU Dresden are obliged to follow the Statutes for Ensuring Good Scientific Practice, Avoiding Scientific Misconduct, and Handling Violations, to make them the basis of their research work and to actively contribute to the prevention of academic misconduct.
In its statutes the TU Dresden has stipulated that all scientific staff as well as all doctoral candidates are obliged to attend at least one training course on the topic of Good Scientific Practice (§ 3 (3)).
TU Dresden Guidelines for handling research data
The Guidelines on the handling of research data at TU Dresden specify how to handle research data in general, i.e. extending beyond primary data.
If you are faced with challenges when dealing with research data you can also contact the Service Center Research Data.
Position of the Extended University Executive Board of the TUD on the use of text-generating AI systems such as ChatGPT at the TU Dresden dated 28.03.2023
AI-supported text generation programs such as the ChatBot ChatGPT have been attracting a lot of attention since the end of last year. TU Dresden is observing the rapid development of this AI technology closely. Here you find some information and recommendations for different topics in the university context.