Connecting Scientometrics: Dimensions as a Route to Broadening Context for Analyses

Simon J Porter; Daniel W Hook

doi:10.3389/frma.2022.835139

Connecting Scientometrics: Dimensions as a Route to Broadening Context for Analyses

Front Res Metr Anal. 2022 Apr 26:7:835139. doi: 10.3389/frma.2022.835139. eCollection 2022.

Authors

Simon J Porter¹, Daniel W Hook^{1

2

3}

Affiliations

¹ Digital Science, London, United Kingdom.
² Centre for Complexity Science, Imperial College London, London, United Kingdom.
³ Department of Physics, Washington University in St. Louis, St. Louis, MO, United States.

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.

Keywords: Dimensions; Google BigQuery; World Bank data; bibliometrics; cloud; contextual data; scientometrics; unique identifier.

Associated data

figshare/10.6084/m9.figshare.17197262.v1