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A Research Graph dataset for connecting research data repositories using RD-Switchboard.

Amir Aryani1, Marta Poblet2, Kathryn Unsworth3

  • 1Australian National University, Canberra, Australia.

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Summary
This summary is machine-generated.

This study introduces an open access graph dataset linking international data repositories, publications, and grants. This research data infrastructure enhances discovery, visibility, and collaboration by mapping connections between research datasets.

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Area of Science:

  • Data Science
  • Bibliometrics
  • Research Infrastructure

Background:

  • International data repositories like Dryad, CERN, and ANDS hold valuable research outputs.
  • Connecting these repositories to publications and grants is crucial for understanding research impact and facilitating discovery.
  • Existing research data infrastructures often operate in silos, limiting cross-disciplinary insights.

Purpose of the Study:

  • To describe an open access graph dataset that visualizes connections between data repositories, publications, and grants.
  • To demonstrate how the Research Graph data model and RD-Switchboard can link disparate research resources.
  • To enhance the discoverability and visibility of research datasets and foster collaboration.

Main Methods:

  • Utilized the Research Graph data model to construct the graph dataset.
  • Employed the Research Data Switchboard (RD-Switchboard), a project of the RDA DDRI Working Group.
  • Integrated data from Dryad, CERN, ANDS, and other international data repositories.

Main Results:

  • Developed a comprehensive graph dataset illustrating links between data repositories, publications, and grants.
  • The dataset enables tracing research lineage through publication co-authorship and shared grant funding.
  • Improved discovery and visibility of research datasets, reducing duplication of effort.

Conclusions:

  • The graph dataset provides a novel way to navigate and understand complex research landscapes.
  • Linked datasets foster reproducibility, re-use, and novel research ideas.
  • This infrastructure promotes inter-institutional collaboration and combinatorial creativity in research.