Federal funding of doctoral recipients: What can be learned from linked data

Wan-Ying Chang, Wei Cheng, Julia Lane and Bruce Weinberg

Research Policy, 2019, vol. 48, issue 6, 1487-1492

Abstract: This technical note describes the results of a pilot approach to link administrative and survey data to better describe the richness and complexity of the research enterprise. In particular, we demonstrate how multiple funding channels can be studied by bringing together two disparate datasets: UMETRICS, which is based on university payroll and financial records, and the Survey of Earned Doctorates (SED), which is one of the most important US survey datasets about the doctoral workforce. We show how it is possible to link data on research funding and the doctorally qualified workforce to describe how many individuals are supported in different disciplines and by different agencies. We outline the potential for more work as the UMETRICS data expands to incorporate more linkages and more access is provided.

Keywords: UMETRICS; Linked survey transaction data; Doctoral workforce; Survey of earned doctorates; Research impact (search for similar items in EconPapers)
JEL-codes: C8 C81 O30 O38 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:48:y:2019:i:6:p:1487-1492

DOI: 10.1016/j.respol.2019.03.001

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