"Data Champions" at TU Dortmund University
On this page, we regularly present scientists who have intensively dealt with the topic of research data management and developed creative best-practice solutions. In short interviews, they talk about the challenges they face and their approaches to solving them.
In the Digital Humanities RUHR project, Dr. Henrike Weinert demonstrates why data literacy, basic statistical skills, and the question of responsibility in algorithmic systems are central to this field
“The key is to make good use of modern methods while also understanding their limitations”
Prof. Henrik Müller explains how text mining can be successfully carried out even by researchers from other disciplines
“A good research question is crucial to ensuring you don’t lose your way when text mining”
Kerstin Wohlgemuth on data publications and the TUDOdata repository
“Data publications enable us to establish the basis for transparent research”
Dr. Alexander Schenk and Julia Dreilich report on the implementation and use of eLabFTW
“The biggest advantage of electronic lab notebooks is that everything is bundled in one place”
Hanna Gaspard and Elisabeth Graf on the publication of data sets in empirical educational research
“We benefit from the publication of our own and third-party data sets.”
Prof. Norbert Kockmann on NFDI4Cat, ontologies and metadata standards
“Be open to abstract concepts such as ontologies and metadata standards”
Sven Anderson, Anne Pferdekämper-Schmidt and Stefan Schmidt report on the use of the RDMO tool in the DoProfiL collaborative project
“Research data management should be practiced from the beginning”
JProf. Ben Hermann on reproducible research data and Open Science
“Transparent research data creates trust in science”
Prof. Joachim Hüffmeier and Ann-Kathrin Torka on Open Science and preregistration
“Open Science is an investment into the future”
Prof. Stefan Kast on the RDM strategy of the excellence cluster RESOLV
“We want to get a scientific and societal value out of RDM”