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Measuring Research Information Citizenship Across ORCID Practice.

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  • 1Digital Science, London, United Kingdom.

Frontiers in Research Metrics and Analytics
|April 14, 2022
PubMed
Summary

This study examined the adoption of ORCID (Open Researcher and Contributor ID) by researchers, publishers, and funders. Scientometric analysis shows varying levels of engagement within the research information ecosystem.

Keywords:
DimensionsORCIDresearch infrastructurescholarly communicationsscientometrics

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Area of Science:

  • Scholarly Communications
  • Bibliometrics
  • Research Information Management

Background:

  • Significant investment over a decade has aimed to increase Open Researcher and Contributor ID (ORCID) adoption and supporting infrastructure.
  • This has cultivated a
  • research information citizenry
  • involving researchers, publishers, funders, and institutions.
  • Understanding the integration and effectiveness of ORCID within this ecosystem is crucial.

Purpose of the Study:

  • To investigate the adoption of Open Researcher and Contributor ID (ORCID) roles and responsibilities.
  • To measure ORCID behaviors of researchers, publishers, and funders.
  • To assess their integration within the broader research information landscape.

Main Methods:

  • A scientometric approach was employed to analyze ORCID adoption and behaviors.
  • Data was drawn from the Dimensions dataset, representing the approximated research world.
  • Focus was placed on the interactions and adoption rates among researchers, publishers, and funders.

Main Results:

  • The study quantifies the extent to which researchers, publishers, and funders have adopted ORCID functionalities.
  • Analysis reveals patterns of engagement and integration within the research information citizenry.
  • Effectiveness of ORCID roles and responsibilities is measured against a comprehensive research dataset.

Conclusions:

  • The findings provide insights into the current state of Open Researcher and Contributor ID (ORCID) integration in scholarly communications.
  • Understanding adoption levels is key to optimizing research information management and collaboration.
  • This scientometric evaluation informs future strategies for enhancing the research information ecosystem.