Automated Organization ProfileOhio State University. Department of Sociology, and Criminal Justice Research Center
Ohio State University. Department of Sociology, and Criminal Justice Research Center
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: 44.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The primary purpose of the National Neighborhood Crime Study (NNCS) was to assemble tract-level crime and sociodemographic data for cities across the United States in order to permit analyses of the sources of crime for "communities" of different racial-ethnic and class composition. The NNCS also sought to examine the extent to which the causes of crime in communities are contingent on the types of geographic region, labor market, or other contextual characteristics. To fulfill these purposes, the NNCS compiled crime and sociodemographic data for census tracts in a representative sample of large United States cities for 2000. The dataset includes: (1) tract-level crime data pertaining to seven of the FBI's crime index offenses; (2) tract-level information on social disorganization, structural disadvantage, socioeconomic inequality, mortgage lending, and other control variables garnered from the 2000 United States Census of Population and Housing Summary File 3 (SF3) and other publicly available sources; (3) city-level information for the city in which the tract is located, focused on labor market structure, socioeconomic inequality, population change, and other control variables; and (4) metropolitan area data for the Metropolitan Statistical Area (MSA) or Primary Metropolitan Statistical Area (PMSA) in which the tract is located, focused on labor market structure, socioeconomic inequality, population change, and other control variables (also taken from the 2000 Census and other publicly available sources). The NNCS contains data for 9,593 census tracts in 91 cities in 64 metropolitan areas. (Please see the collection note section for additional information about variable naming.)
Authors
- Peterson, Ruth D. ;
- Krivo, Lauren J.
The primary purpose of the National Neighborhood Crime Study (NNCS) was to assemble tract-level crime and sociodemographic data for cities across the United States in order to permit analyses of the sources of crime for "communities" of different racial-ethnic and class composition. The NNCS also sought to examine the extent to which the causes of crime in communities are contingent on the types of geographic region, labor market, or other contextual characteristics. To fulfill these purposes, the NNCS compiled crime and sociodemographic data for census tracts in a representative sample of large United States cities for 2000. The dataset includes: (1) tract-level crime data pertaining to seven of the FBI's crime index offenses; (2) tract-level information on social disorganization, structural disadvantage, socioeconomic inequality, mortgage lending, and other control variables garnered from the 2000 United States Census of Population and Housing Summary File 3 (SF3) and other publicly available sources; (3) city-level information for the city in which the tract is located, focused on labor market structure, socioeconomic inequality, population change, and other control variables; and (4) metropolitan area data for the Metropolitan Statistical Area (MSA) or Primary Metropolitan Statistical Area (PMSA) in which the tract is located, focused on labor market structure, socioeconomic inequality, population change, and other control variables (also taken from the 2000 Census and other publicly available sources). The NNCS contains data for 9,593 census tracts in 91 cities in 64 metropolitan areas. (Please see the collection note section for additional information about variable naming.)
Authors
- Peterson, Ruth D. ;
- Krivo, Lauren J.