Automated Author ProfileBusch, Melanie
Leibniz University Hannover
Busch, Melanie
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: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In 2020, we conducted an online survey to explore which methods and practices are used in industry throughout the software process lifecycle. The survey covered the following topics: Demographics Used Methods and their relation to software project disciplines Used Practices and their relation to software project disciplines Closure The survey was implemented in LimeSurvey and distributed across several communication channels such as LinkedIn, ResearchGate, and via personal contacts. This dataset includes the following files: "Raw-data-public.xlsx" contains the raw survey responses which are anonymized "Questionnaire.pdf" contains the questions and possible answers of the survey
Authors
- Klünder, Jil ;
- Busch, Melanie ;
- Dehn, Natalie ;
- Karras, Oliver
In 2020, we conducted an online survey to explore which methods and practices are used in industry throughout the software process lifecycle. The survey covered the following topics: Demographics Used Methods and their relation to software project disciplines Used Practices and their relation to software project disciplines Closure The survey was implemented in LimeSurvey and distributed across several communication channels such as LinkedIn, ResearchGate, and via personal contacts. This dataset includes the following files: "Raw-data-public.xlsx" contains the raw survey responses which are anonymized "Questionnaire.pdf" contains the questions and possible answers of the survey
Authors
- Klünder, Jil ;
- Busch, Melanie ;
- Dehn, Natalie ;
- Karras, Oliver