Good scientific practice

Good scientific practice (GSP) is a prerequisite for good research. A violation of GSP can constitute scientific misconduct.

In the Rules for Safeguarding Good Scientific Practice and Procedures in the Event of Suspected Scientific Misconduct at Clausthal University of Technology contains descriptions of:

• GWP aspects of a research project - from the idea for the project, through the implementation (documentation, data backup, research data management), to the evaluation (publication, possibly commercial exploitation)
• the procedure in case of suspicion

All researchers at Clausthal University of Technology should be familiar with these rules.
The Graduate Academy offers regular training courses on GWP.

The Clausthal University of Technology's rules on the Code of Conduct are based on the DFG guidelines:

• Guidelines for Safeguarding Good Scientific Practice (Code) (English and German)

These documents also contain procedural suggestions for suspected cases.
As a rule, suspected cases are first reported to the ombudsperson (addresses on the right).
The ombudsperson conducts a confidential preliminary investigation. If the suspicion is associated with conflicts, the ombudsperson attempts to mediate.

Another aspect of good scientific practice is research data management.

Science is undergoing a process of change that is being triggered by the possibilities of generative AI (such as ChatGPT). This combines opportunities and risks.
Information on this topic can be found at

• Guidelines on the use of large language models in Leopoldina publications
• Statement by the Executive Committee of the German Research Foundation (DFG) on the influence of generative models for text and image generation on the sciences and the DFG's funding activities -(English version)