Automated Author ProfileBraun, Daniela
Braun, Daniela
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This article contributes to the debate about the introduction of the Spitzenkandidaten (lead candidates) in the 2014 European Parliament (EP) election. Focusing on parties’ efforts to make the candidates visible to voters, we argue that the multi-level character of these elections creates large differences concerning individual parties’ incentives to promote the Spitzenkandidaten in their campaigns. Analysing a novel dataset of campaign communication on Facebook, we find that only a few parties highlighted them, while many did not. In line with our theoretical argument, this variation is systematic and can be attributed to lacking incentives for most parties. Especially nominating a candidate at the European level only has a modest positive effect on national parties’ willingness to put the candidates in the spotlight. This lacking commitment to the nominated candidates should be considered in discussions about the reform of the current Spitzenkandidaten system for the 2019 EP elections.
Authors
- Braun, Daniela ;
- Schwarzbözl, Tobias
This article contributes to the debate about the introduction of the Spitzenkandidaten (lead candidates) in the 2014 European Parliament (EP) election. Focusing on parties’ efforts to make the candidates visible to voters, we argue that the multi-level character of these elections creates large differences concerning individual parties’ incentives to promote the Spitzenkandidaten in their campaigns. Analysing a novel dataset of campaign communication on Facebook, we find that only a few parties highlighted them, while many did not. In line with our theoretical argument, this variation is systematic and can be attributed to lacking incentives for most parties. Especially nominating a candidate at the European level only has a modest positive effect on national parties’ willingness to put the candidates in the spotlight. This lacking commitment to the nominated candidates should be considered in discussions about the reform of the current Spitzenkandidaten system for the 2019 EP elections.
Authors
- Braun, Daniela ;
- Schwarzbözl, Tobias