Schlagwort: ‘gute wissenschaftliche Praxis’
RDM and Good Scientific Practice: An Inseparable Connection
Research data is the backbone of every scientific endeavor. However, the collection, documentation, and publication of research data is only useful if it adheres to the principles of Good Scientific Practice (GSP). These principles ensure scientific integrity and the quality of research. A central component of GSP is the proper handling of research data, which plays an important role in research data management (RDM).
From Data Inventory to Data Management Plan

Source: Freepik
Note: The blog post was written by Katharina M. E. Grünwald and therefore has a personal character. She works as a data steward at the RWTH IT Center. Have fun reading!
You are about to start your doctoral thesis, the topic has been decided and you know when everything will start. But suddenly you hear that you also need to have good research data management (RDM) if you want to comply with modern good scientific practice. Your department has special data formats, you have to complete a data management plan (DMP), RWTH Aachen University offers services such as Coscine and the German Research Foundation (DFG) also has guidelines on what it considers to be good RDM. Quite a mess… and now?
Don’t worry – we got you. In this blog post, you will learn in two easy-to-apply steps how to get an overview of the chaos and understand the structure behind it.
RDM Explained – How do I Cite Research Data?
The last article in the “RDM explains” series was about how to find research data. But what happens if you have found relevant data and use it in your scientific work? In order not to run the risk of unintentionally plagiarising, care should be taken to cite all sources in a scientifically correct manner. But how exactly do you do that with research data? In this article, we present important principles and possibilities.