Automated Author ProfileBrautigam, Deborah
Brautigam, Deborah
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: 5.0 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This survey was administered by Ethiopia’s Central Statistical Agency (CSA) in conjunction with their survey of Large and Medium Scale Manufacturing industries in 2017. The survey was administered to plant managers and was designed to elicit information about (i) formal links between foreign and domestic firms; (ii) the mechanisms by which knowledge is transferred and (iii) the benefits obtained from foreign firms. This report outlines and describes basic information about the data that may be helpful for users.
Authors
- Brautigam, Deborah
This survey was administered by Tanzania’s National Bureau of Statistics (NBS) in conjunction with their Annual Survey of Industrial Production (ASIP) in 2016. The survey was administered to plant managers and was designed to elicit information about (i) formal links between foreign and domestic firms; (ii) the mechanisms by which knowledge is transferred and (iii) the benefits obtained from foreign firms.
Authors
- Brautigam, Deborah
Survey of 149 Chinese manufacturing firms in four African countries (Ethiopia, Kenya, Nigeria, Tanzania) conducted in 2016 and 2017. Firms were surveyed on their investment value, employment, and on the reasons why they invested, and their linkages with local, non-Chinese firms. The survey questionnaire contains approximately 50 questions allowing analysis of the firms’ provincial origins, the role played by incentives from sending and receiving countries, backward and forward linkages, employee training, and so on.
Authors
- Brautigam, Deborah