Institute for Research on Innovation & Science (IRIS) Summary Documentation for UMETRICS 2017Q4a Dataset

Principal Investigator(s):  View help for Principal Investigator(s) Ron Jarmin, U.S. Census Bureau; Julia Lane, New York University; Jason Owen-Smith, University of Michigan; Bruce Weinberg, Ohio State University

Version:  View help for Version V2

Name File Type Size Last Modified
SummaryDocumentation_April_2018.pdf application/pdf 1.7 MB 05/29/2018 07:45:AM

Project Citation: 

Jarmin, Ron, Lane, Julia, Owen-Smith, Jason, and Weinberg, Bruce. Institute for Research on Innovation & Science (IRIS) Summary Documentation for UMETRICS 2017Q4a Dataset. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-06-06. https://doi.org/10.3886/E102901V2

Project Description

Summary:  View help for Summary
This data release (UMETRICS 2017Q4a dataset) is the second annual IRIS research data
release. The first research data release (UMETRICS 2016Q3a dataset) was made available to
approved researchers in the IRIS Virtual Data Enclave in March 2017, and a mirror of the dataset with linkages to restricted Census Bureau data was released via the Federal Statistical
Research Data Center (FSRDC) system1 in May 2017.

The documentation for this current data release focuses on both descriptions of IRIS data and
our process and methodology for record linkage. The dataset includes de-identified IRIS data,
public elements of external datasets (e.g., grants and publications), and crosswalk tables to
match particular data elements (e.g., awards, awardees, research employees) across IRIS data and external datasets. As with the first release, this research data release is being integrated with U.S. Census Bureau data and will be available in the FSRDC system in May 2018.

This is the publicly available summary documentation for the UMETRICS 2017Q4a dataset. Access to the full documentation is restricted to authorized IRIS data users.

This data documentation was prepared by the IRIS Research Team. 

Funding Sources:  View help for Funding Sources Ewing Marion Kauffman; Alfred P. Sloan foundations; IRIS Member Universities

Scope of Project

Subject Terms:  View help for Subject Terms administrative data; award activity; awards and funding; award expense transaction; collaboration networks; economic and social value of research; graduate students and postdoctoral researchers; research activity; research impact; science of innovation; scientific productivity; scientific workforce
Time Period(s):  View help for Time Period(s) 2001 – 2017 (The university representation and temporal data coverage varies significantly across files and institutions.)
Data Type(s):  View help for Data Type(s) administrative records data; event/transaction data; text
Collection Notes:  View help for Collection Notes
Data Contributor(s)
  • IRIS member universities 
Data manager(s), curator(s), and distributor(s): 
  • IRIS has served as a data manager, curator, and distributor in this round of data release
  • IRIS has prepared the UMETRICS 2017Q4a dataset for distribution for research purposes
IRIS Principal Investigators (PIs) were not involved in primary data collection, which was initially carried out by each IRIS member university as part of its administrative functions. Twenty-six (26) member universities are represented in the UMETRICS2017Q4a dataset:
  • Boston University 
  • Emory University
  • Indiana University
  • Michigan State University 
  • New York University 
  • Northwestern University 
  • Ohio State University 
  • Pennsylvania State University 
  • Princeton University 
  • Purdue University 
  • Rutgers University 
  • Stony Brook University 
  • University of Arizona
  • University of California - San Diego
  • University of Cincinnati
  • University of Colorado, Boulder 
  • University of Hawaii  
  • University of Illinois at Urbana-Champaign 
  • University of Iowa 
  • University of Kansas 
  • University of Michigan 
  • University of Missouri 
  • University of Pennsylvania
  • University of Pittsburgh 
  • University of Virginia
  • University of Wisconsin - Madison

Methodology

Collection Mode(s):  View help for Collection Mode(s) other
Unit(s) of Observation:  View help for Unit(s) of Observation Each expense transaction is a mix of quarterly, monthly, and daily records. The pay / transaction period varies across files and universities. Most of the transaction records in the Award File are monthly, whereas the majority of records in the Vendor File are daily (see 2018 Dataset Descriptions for details).

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Published Versions

V2 [2018-06-06]

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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.