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

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.

An overview of Frontiers in Research Metrics and Analytics

“…References marked by Chen (2020), Cabezas-Clavijo and Torres-Salinas (2021), Rovetta (2021), Porter and Hook (2022), Puljak et al (2022), Kalenzi (2022), and Perez-Molina and Loizides (2023) are the exemplar works identified by our editors. They appeared in three different clusters, indicating their distinct roles and impacts on subsequent research.…”

Responsible models and indicators: challenges from artificial intelligence

“…Frontiers in Research Metrics and Analytics has actively embraced AI, e.g., machine learning-based classifiers and measures (Singhal et al, 2021 ; Mohlala and Bankole, 2022 ), embedding-based bibliometric studies (He and Chen, 2018 ; Wu et al, 2021 ), graph representation learning (Asada et al, 2021 ), and extensive utilization of academic graphs (Porter et al, 2020 ; Negro et al, 2023 ). Notebly, the community of Research Policy and Strategic Management has been actively engaged in in-depth discussions on trendy topics, such as responsible research and innovation (Buchmann et al, 2023 ), governance with equality and abundance (Kop, 2022 ), open data (Porter and Hook, 2022 ), and AI governance (Kalenzi, 2022 ).…”