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Cloud computing can enhance research strategy by providing accessible data and compute power for scientometrics. This approach democratizes data access, improving research policy and decision-making with up-to-date metrics.

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Area of Science:

  • Scientometrics and research policy
  • Cloud computing applications in research

Background:

  • Research policy and strategy often rely on outdated or inaccessible global metrics.
  • Scientometrics bridges research and decision-making, but faces data access challenges.
  • Cloud computing offers potential solutions for data accessibility and analysis in research.

Purpose of the Study:

  • To explore the potential of cloud computing for scaling scientometrics.
  • To address challenges in accessing and analyzing data for research policy and strategy.
  • To introduce a novel visualization technique for exploring scientometric data.

Main Methods:

  • Utilizing cloud technologies to provide scalable data and compute capacity.
  • Developing and applying a novel visualization technique.
  • Democratizing access to scientometric data and computational resources.

Main Results:

  • Demonstrated the potential for cloud-based scientometrics to provide timely and specific data.
  • Introduced a visualization method for exploring scaled scientometric data.
  • Showcased how cloud platforms can democratize access to research data and analysis.

Conclusions:

  • Cloud computing can significantly improve research policy and strategic decision-making.
  • Democratizing data and compute capacity through the cloud enhances scientometric analysis.
  • Novel visualization techniques are key to leveraging cloud-based scientometrics effectively.