Automated Organization Profile0000-0001-5336-6899
0000-0001-5336-6899
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 2.5 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The framework surrounding DataDesc, a metadata schema for software documentation with focus on interfaces, comes with a machine-actionable metadata exchange format and a software toolkit supporting the documentation, extraction and publication of software metadata. Features DataDesc combines four distinct python software packages: a form to convert general software metadata into a DataDesc compliant JSON file a parser for extracting extensive metadata information from python source code to DataDesc compliant JSON a tool for combining two DataDesc compliant JSON files into a single one a tool for uploading DataDesc compliant files to the ORKG, GitHub, PyPI, and more Acknowledgements The authors would like to thank the Federal Ministry for Economic Affairs and Energy of Germany (BMWi) for supporting this work with a grant for the project LOD-GEOSS (03EI1005B). Furthermore, the authors would like to thank the German Federal Government, the German State Governments, and the Joint Science Conference (GWK) for their funding and support as part of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number: 442146713. In addition, the work was supported by the Lower Saxony Ministry of Science and Culture within the Lower Saxony ‘‘Vorab’’ of the Volkswagen Foundation under Grant 11-76251-13-3/19–ZN3488 (ZLE), and by the Center for Digital Innovation (ZDIN). This work was also supported by the Helmholtz Association under the program "Energy System Design".
Authors
- Kuckertz, Patrick ;
- Göpfert, Jan-Maris ;
- Karras, Oliver ;
- Neuroth, David ;
- Schönau, Julian ;
- Pueblas, Rodrigo ;
- Ferenz, Stephan ;
- Engel, Felix ;
- Pflugradt, Noah ;
- Weinand, Jann Michael ;
- Kotzur, Leander ;
- Nieße, Astrid ;
- Auer, Sören ;
- Stolten, Detlef