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  3. UMETRICS University Research Data

UMETRICS University Research Data

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Description

Innovation Measurement Initiative's (IMI)Universities: Measuring the Impacts of Research on Innovation, Competitiveness, and Science (UMETRICS) data are useful for analyzing the social and economic effects of research investments; the scientific production function; the career outcomes and earnings of graduate students and trainees; questions pertaining to science and engineering workforce and the STEM pipeline; and many other possible topics.

The UMETRICS data provides transactional information on university employees and vendors paid by federal and non-federal research grants. With our partner IRIS at the University of Michigan, the data also provides educational and topical research backgrounds on the employees on each grant, as well as information on the grants themselves. The data cover 31 universities, with data available from 2001-2018, updated annually.

In addition to the UMETRICS data, the Census also provides crosswalks linking the employee data (through the PIK process) and vendor data (through the Standard Statistical List) in order to facilitate linkages to further census data products. The UMETRICS data suite also contains detailed information as well as crosswalks for grants to federal funding agencies such as the NIH, NSF, and USDA and information on patents held by UMETRICS employees.

Microdata from IRIS member universities that contains individual and business names and partial birth date information (month and year) so that award, researcher, and vendor information can be linked to research activities and outputs such as journal articles, citations, patents, and new business startups. These data de-identified prior to being made available for researcher access.

The UMETRICS data are ingested from IRIS annually. Documentation and data provenance is available both in the RDC environment and in the IRIS data warehouse at isr.umich.edu.

The project review timeframes above do not apply to applications that request access to confidential data assets commingled with data that are either not owned, or are only co-owned, by the statistical agency(s) or unit(s) and require approval from third parties not subject to this policy (e.g., state and local government agencies).

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Metadata

  • Identification and Summary
  • Scope and Coverage
  • Detailed Methodology
  • Data Access
  • Application-Related
  • Supporting Documents
  • Export Metadata

Detailed Methodology

Sample

No sample. Dataset includes entire Universe

Method of data collection
  • Administrative records
Reference date
  • Last year/last 12 months
Data collection notes

Data submitted to IRIS by IRIS member universities.

These files include university financial and personnel administrative data pertaining to sponsored project expenditures at each university during a given year, drawn directly from sponsored projects, procurement, and human resources data systems on each IRIS university’s campus. Individual campus files are de-identified, cleaned and aggregated by IRIS to produce the core collection files.

Number of cases
Dependent on Universe
Linkage variables
  • Employer Identification Number (EIN)
  • State name
  • Other (see Linkage Capabilities description)
Linkage capabilities

Business linkage variables (301. 302. 303, 900: DUNS Code) are avialable for the subawardees and vendors used.. institutionanid . empnumber . DQB_SOURCE_ID . CFDA . campusid . orgdistrict (Organization Congressional District) . orgfips (Organization Country Code) . pmid . issn . fedawdnumstd . DUNS Code|['Company/Firm/Business Address', 'Company/Firm/Business Name']

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