The Technische Hochschule Mittelhessen promotes on the basis of its principles for good scientific practice and for dealing with research data, sustainable research data management and supports its researchers in the implementation.
In order to do justice to the digital change in research, I involved the THM in the "NFDI - National Research Data Structure", as well as the state initiative "HeFDI - Hessian Research Data Infrastructures" on an overall strategy for the development of a sustainable research data infrastructure. The organizational and technological support should enable researchers to work efficiently and easily with their research data.
Do you want to know more about how you can implement research data management or are you looking for content on research data management for your courses?
As part of the joint project "HeFDI - Hessian Research Data Infrastructures" became a self-study unit developed on the subject of research data management.
You can find these adapted to the THM in the Moodle course "Research Data Management - an online introduction (HeFDI Data Learning Materials)" in the course area "Miscellaneous".
What is research data management about?
Research data is one of the most important resources in modern science. The amount of data collected is constantly growing, as are the opportunities to analyze this data. A good organization of this data is crucial for a structured way of working and for the data quality, as well as for the visibility of one's own research.
In the spirit of good scientific practice and the FAIR principle, the data should be retrievable, accessible, linkable and reusable. The term "research data" includes all data that is generated in the course of a scientific process.
"Research data management" means the systematic handling of this data over the entire data life cycle.