New linked data on research investments: Scientific workforce, productivity, and public value

Julia I. Lane, Jason Owen-Smith, Rebecca F. Rosen, Bruce A. Weinberg

Research output: Contribution to journalArticle

Abstract

Longitudinal micro-data derived from transaction level information about wage and vendor payments made by Federal grants on multiple US campuses are being developed in a partnership involving researchers, university administrators, representatives of Federal agencies, and others. This paper describes the UMETRICS data initiative that has been implemented under the auspices of the Committee on Institutional Cooperation. The resulting data set reflects an emerging conceptual framework for analyzing the process, products, and impact of research. It grows from and engages the work of a diverse and vibrant community. This paper situates the UMETRICS effort in the context of research evaluation and ongoing data infrastructure efforts in order to highlight its novel and valuable features. Refocusing data construction in this field around individuals, networks, and teams offers dramatic possibilities for data linkage, the evaluation of research investments, and the development of rigorous conceptual and empirical models. Two preliminary analyses of the scientific workforce and network approaches to characterizing scientific teams ground a discussion of future directions and a call for increased community engagement.

Original languageEnglish (US)
Pages (from-to)1659-1671
Number of pages13
JournalResearch Policy
Volume44
Issue number9
DOIs
StatePublished - 2015

Keywords

  • IRIS
  • Linked data
  • Occupation classification
  • STAR METRICS
  • Science of science policy
  • Scientific networks
  • Scientific workforce
  • UMETRICS

ASJC Scopus subject areas

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

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