Automated Organization ProfileUSIP
USIP
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: 1.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This repository hosts cleaned candidate scrutiny forms released by the Election Commission of Pakistan for prospective candidates for Pakistan's 2018 national and provincial assembly elections. The scrutiny forms consist of data released on tax payments from the Federal Board of Revenue (FBR), corruption cases from the the National Accountability Bureau (NAB), and oustanding loans from the State Bank of Pakistan (SBP).The final output after cleaning is also included as pk_candidate_scrutiny_data_2018.csv, or in wide format (collapsing three reported tax-year rows per candidate into a single row) as pk_candidate_scrutiny_data_2018_wide.csv.
Authors
- Cookman, Colin ;
- Sonnet, Luke