Automated Author ProfileZiegele, Frank
CHE Centre for Higher Education
Ziegele, Frank
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.1 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The focus of the BMBF funded research project “Transfer of Insights from Higher Education and Science Research into University Management” (TransForM) revolves around the question to what extent insights from science and higher education research can support university management tasks by means of a suited knowledge transfer and, thus, contribute to the professionalisation of this work environment. The term “university management” is broadly construed to include both the executive and middle levels. The data contains the results of a nationwide online survey of 1,432 managers of public universities from the fields of study and teaching, research, and transfer in Germany. The survey was conducted in autumn 2023. Among other things, the survey asked how relevant research findings from higher education and science studies are for university management activities and which transfer channels are particularly relevant. Three central transfer channels were covered: publications, conference input, and social media, with a total of ten analysed sub-channels. The results are complemented with questions pertaining to relevant research topics, cooperations with the field of higher education and research studies, and recommendations for improvement.
Authors
- Ziegele, Frank ;
- Nickel, Sigrun ;
- Reum, Nicolas ;
- CHE Centre for Higher Education