Automated Author ProfileMaki, Wilbur
University of Minnesota
Maki, Wilbur
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: 1.3 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The purpose of this study was to provide a description of both the current status and the changes in businesses and jobs in all United States counties, by 75 two-digit industry sectors. The study was designed to inquire to what extent new firm formation and small firm expansion reflect or cause economic growth. The data, originally assembled by Dun and Bradstreet, was edited and processed to adjust for errors and omissions to create a complete census of all business firms (single-site and multiple-site) and associated employment in six two-year periods: 1976-1978, 1978-1980, 1980-1982, 1982-1984, 1984-1986, and 1986-1988. The datasets contain detailed data for the years 1976-1988 on establishment births (new units entering the file), establishment deaths (existing units disappearing), expansion and contraction of all private-sector business establishments, and on the number of business jobs affected by these changes. Each record consists of a number of variables that (1) identify the county and industry, (2) describe the firms and jobs at the beginning of the two-year period, (3) provide descriptions at the end of the two-year period, and (4) that provide data on sources of changes during the two-year period. As the data are designed to be a complete census of all business units and all jobs, it can be aggregated to provide complete counts for any industry, region, or state or for the entire country.
Authors
- Reynolds, Paul D. ;
- Maki, Wilbur
The purpose of this study was to provide a description of both the current status and the changes in businesses and jobs in all United States counties, by 75 two-digit industry sectors. The study was designed to inquire to what extent new firm formation and small firm expansion reflect or cause economic growth. The data, originally assembled by Dun and Bradstreet, was edited and processed to adjust for errors and omissions to create a complete census of all business firms (single-site and multiple-site) and associated employment in six two-year periods: 1976-1978, 1978-1980, 1980-1982, 1982-1984, 1984-1986, and 1986-1988. The datasets contain detailed data for the years 1976-1988 on establishment births (new units entering the file), establishment deaths (existing units disappearing), expansion and contraction of all private-sector business establishments, and on the number of business jobs affected by these changes. Each record consists of a number of variables that (1) identify the county and industry, (2) describe the firms and jobs at the beginning of the two-year period, (3) provide descriptions at the end of the two-year period, and (4) that provide data on sources of changes during the two-year period. As the data are designed to be a complete census of all business units and all jobs, it can be aggregated to provide complete counts for any industry, region, or state or for the entire country.
Authors
- Reynolds, Paul D. ;
- Maki, Wilbur