Based on its principles on good academic practice and handling of research data, the Technische Hochschule Mittelhessen – University of Applied Science promotes sustainable research data management and supports its researches in its implementation.
As part of the state-wide joint project "HeFDI - Hessian Research Data Infrastructures", the THM is contributing to an overall strategy for establishing a sustainable research data infrastructure at Hessian universities in order to meet the digital transformation in research. The organisational and technological support is intended to enable researchers to work efficiently and easily with their research data.
What is research data management about?
Research data is a key resource of modern science. The amount of data gathered is constantly growing, as are the possibilities for its analysis. Proper organisation of this data is crucial for a well-structured way of working, as wells as data quality and the visibility of one’s own research..
In the light of good academic practice and the FAIR principles, the data should be finable, accessible, interoperable and reusable. The term "research data" covers all data generated in the course of a scientific process.
“Research data management" is defined as the systematic handling of these data over the entire data life cycle.