Connecting Scientometrics: Dimensions as a route to broadening context for analyses

TL;DR

This paper explores how cloud-based infrastructures like Google BigQuery enable integration of scientometric data with global datasets, enhancing analysis capabilities for practitioners such as policymakers.

Contribution

It demonstrates connecting Dimensions scientometric data with World Bank data on BigQuery to analyze international collaboration across economic classifications.

Findings

Connected Dimensions and World Bank data for analysis

Enabled new insights into international collaboration patterns

Showcased cloud infrastructure for scientometric data integration

Abstract

Modern cloud-based data infrastructures open new vistas for the deployment of scientometric data into the hands of practitioners. These infrastructures lower barriers to entry by making data more available and compute capacity more affordable. In addition, if data are prepared appropriately, with unique identifiers, it is possible to connect many different types of data. Bringing broader world data into the hands of practitioners (policymakers, strategists and others) who use scientometrics as a tool can extend their capabilities. These ideas are explored through connecting Dimensions and World Bank data on Google BigQuery to study international collaboration between countries of different economic classification.