Exploring Scientometrics with the OpenAIRE Graph: Introducing the OpenAIRE Beginner's Kit

TL;DR

This paper presents the OpenAIRE Beginner's Kit, a user-friendly tool that simplifies access to a subset of the extensive OpenAIRE Graph for scientometric research and data exploration.

Contribution

It introduces a practical, accessible toolkit with a Jupyter notebook for analyzing a subset of the OpenAIRE Graph, facilitating wider adoption and exploration.

Findings

Provides a subset of the OpenAIRE Graph for easier analysis

Includes illustrative queries for common scientometric research

Enables research exploration from standard desktop environments

Abstract

The OpenAIRE Graph is an extensive resource housing diverse information on research products, including literature, datasets, and software, alongside research projects and other scholarly outputs and context. It stands as a cornerstone among contemporary research information databases, offering invaluable insights for scientometric investigations. Despite its wealth of data, its sheer size may initially appear daunting, potentially hindering its widespread adoption. To address this challenge, this paper introduces the OpenAIRE Beginner's Kit, a user-friendly solution providing access to a subset of the OpenAIRE Graph within a sandboxed environment coupled with a Jupyter notebook for analysis. The OpenAIRE Beginner's Kit is meticulously designed to democratise research and data exploration, offering accessibility from standard desktop and laptop setups. Within this paper, we provide a brief overview of the included dataset and offer guidance on leveraging the kit through a selection of illustrative queries tailored to address common scientometric inquiries.