Automated Author ProfileInstitute For Research On Innovation And Science (IRIS)
Institute For Research On Innovation And Science (IRIS)
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: 8.1 (sum of 5 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The UMETRICS 2017Q4a Dataset core files include university financial and personnel administrative data pertaining to sponsored project expenditures at IRIS member universities during a given year. UMETRICS core files are based on administrative data drawn directly from sponsored projects, procurement, and human resources data systems on each IRIS member university’s campus. Individual campus files are de-identified, cleaned and aggregated by IRIS to produce these core files.
Authors
- Institute For Research On Innovation And Science (IRIS)
In addition to core and linkage files, the auxiliary collection provides researchers with look-up and contextual information on institutions, awards, vendors and subaward recipients. Files can also help to retrieve institutional characteristics as well as to map campus- and sub-organization unit-level codes to more detailed descriptions.
Authors
- Institute For Research On Innovation And Science (IRIS)
In addition to core and auxiliary files, the 2018 IRIS data release includes updates for the 2017 data release match tables that: (i) link individual research employees to dissertation data (with a focus on dissertation topics) provided by ProQuest, and (ii) link federal awards from the National Institutes of Health (NIH), National Science Foundation (NSF) and U.S. Department of Agriculture (USDA) to detailed information about the content of grants.
Authors
- Institute For Research On Innovation And Science (IRIS)
The UMETRICS 2016Q3a Dataset is comprised of two collections. The first collection includes core files in which researchers will find university financial and personnel administrative data pertaining to sponsored project expenditures at IRIS member universities during a given year. UMETRICS core files are based on administrative data drawn directly from sponsored projects, procurement, and human resources data systems on each IRIS member university’s campus. Individual campus files are de-identified, cleaned and aggregated by IRIS to produce these core files. The core files include university data on sponsored project awards, direct cost wage payments from awards to employees, purchases of goods and services from vendors, and subaward transactions to subcontractors. Additional files provide supporting information to characterize and describe IRIS member institutions, identify sub-university units responsible for particular grants, and provide additional detail on object codes included by some data providers. In addition to core files, we are releasing crosswalk files linking UMETRICS data to external datasets at the individual and award level. In the 2016Q3a release we include match tables that: (i) link individual UMETRICS research employees to dissertation data (with a focus on dissertation topics) provided by ProQuest, and (ii) link federal awards from the National Institutes of Health (NIH), National Science Foundation (NSF) and U.S. Department of Agriculture (USDA) to detailed information about the content of grants. This documentation includes details about the data as well as the matching process.
Authors
- Institute For Research On Innovation And Science (IRIS)
The UMETRICS 2016Q3a Dataset is comprised of two collections. The first collection includes core files in which researchers will find university financial and personnel administrative data pertaining to sponsored project expenditures at IRIS member universities during a given year. UMETRICS core files are based on administrative data drawn directly from sponsored projects, procurement, and human resources data systems on each IRIS member university’s campus. Individual campus files are de-identified, cleaned and aggregated by IRIS to produce these core files. The core files include university data on sponsored project awards, direct cost wage payments from awards to employees, purchases of goods and services from vendors, and subaward transactions to subcontractors. Additional files provide supporting information to characterize and describe IRIS member institutions, identify sub-university units responsible for particular grants, and provide additional detail on object codes included by some data providers. In addition to core files, we are releasing crosswalk files linking UMETRICS data to external datasets at the individual and award level. In the 2016Q3a release we include match tables that: (i) link individual UMETRICS research employees to dissertation data (with a focus on dissertation topics) provided by ProQuest, and (ii) link federal awards from the National Institutes of Health (NIH), National Science Foundation (NSF) and U.S. Department of Agriculture (USDA) to detailed information about the content of grants. This documentation includes details about the data as well as the matching process.
Authors
- Institute For Research On Innovation And Science (IRIS)