Research data are the most important resource in modern academic work. The quantity of digital data is growing continuously, as are the options for analysing those data. In line with good academic practice, they must therefore be backed up carefully in all phases of the data lifecycle and they must be accessible and reproducible.
In December 2017 THM issued its “Grundsätze der Technischen Hochschule Mittelhessen zum Umgang mit Forschungsdaten (Principles on the Handling of Research Data at THM)” (PDF, german).
Responsible handling of research data offers numerous benefits to academic work:
- secure storage to minimise the risk of data loss
- sustainable availability of data
- aggregation of data from various sources for joint use in collaborative projects
- verifiability of results
- multiple use and reuse of the data for further studies and interdisciplinary collaboration
- increase in visibility of data and thus of the reputation of researchers
A data management plan is increasingly a prerequisite for winning national and international external funding.
THM offers support for all aspects of research data management from advice on data strategies and data management plans for external funding applications, through to publication and archiving of research data.
Within the framework of the regional HeFDI project (Hesse Research Data Infrastructures), THM is involved in an overall strategy to develop a sustainable research data infrastructure to address the digital transformation of universities. Through organisational and technological support, researchers should be able to work efficiently and easily with their research data.