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Tracing Long-Term Outcomes of Basic Research Using Citation Networks.

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Summary

This study explores using digital data infrastructure to trace long-term research outcomes, overcoming the labor-intensive nature of traditional case studies for science policy. It demonstrates a new approach for evaluating the impact of federally funded research.

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basic researchcitation networksgovernment fundingknowledge diffusionresearch evaluationresearch outcomesscience of science

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Area of Science:

  • Science of Science Policy
  • Research Impact Assessment
  • Innovation Studies

Background:

  • Digital data and scientometrics facilitate science policy research.
  • Traditional research impact studies often rely on labor-intensive qualitative case studies.
  • Federal agencies like the National Institutes of Health use tracing studies to demonstrate research impact.

Purpose of the Study:

  • To describe an approach for discovering long-term, downstream outcomes of research.
  • To leverage existing data infrastructures for historical tracing studies.
  • To evaluate research supported by the National Institute of General Medical Sciences in the late 1970s and early 1980s.

Main Methods:

  • Utilizing data infrastructures developed for scientometrics.
  • Applying historical tracing study methodologies.
  • Analyzing downstream outcomes of federally funded research.

Main Results:

  • The described approach facilitates the discovery of long-term research outcomes.
  • Digital data infrastructures can support labor-efficient historical tracing studies.
  • Demonstrated a method for assessing impact of foundational research.

Conclusions:

  • Existing data infrastructures can enhance the efficiency of research impact assessment.
  • A hybrid approach combining scientometrics and qualitative tracing is feasible.
  • This method offers a scalable way to evaluate the long-term impact of scientific investments.