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

Wan Ying Chang, Wei Cheng, Julia Ingrid Lane, Bruce Weinberg

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
JournalResearch Policy
DOIs
StatePublished - Jan 1 2019

Fingerprint

Funding
Linked data
Workforce
Industry
Survey data
Administrative data
Linkage
Research funding
Doctorate

Keywords

  • Doctoral workforce
  • Linked survey transaction data
  • Research impact
  • Survey of earned doctorates
  • UMETRICS

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Management of Technology and Innovation

Cite this

Federal funding of doctoral recipients : What can be learned from linked data. / Chang, Wan Ying; Cheng, Wei; Lane, Julia Ingrid; Weinberg, Bruce.

In: Research Policy, 01.01.2019.

Research output: Contribution to journalArticle

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