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Evidence for studying interactions between science and policy: An exploration of scholarly and policy references in Overton-indexed policy documents Cover

Evidence for studying interactions between science and policy: An exploration of scholarly and policy references in Overton-indexed policy documents

Open Access
|Nov 2025

Abstract

Purpose

Overton, a global policy index, provides new opportunities to study the interactions between science and policy. This study aims to characterize the presence of scholarly and policy references in Overton-indexed policy documents and examine their distribution across key bibliographic dimensions, thereby assessing Overton’s potential as a data source for policy metrics.

Design/methodology/approach

We analyze a dataset of approximately 17.5 million policy documents from Overton, incorporating metadata such as publication year, policy source, country, language, subject area, and policy topic. Descriptive statistics are employed to assess the presence and distribution of reference data across these dimensions.

Findings

Overton indexes a substantial volume of policy documents and identifies considerable reference data within them: 7.7% of documents contain scholarly references and 10.6% contain policy references. However, the presence of references varies significantly across publications years, source types, countries, languages, subject areas, and policy topics, indicating coverage biases that may affect interpretations of policy impact.

Research limitations

The analysis is based on the Overton database as of June 2025. As Overton is regularly updated, the distribution patterns of indexed documents and references may evolve over time.

Practical implications

The findings offer insights into the opportunities and constraints of using Overton for investigating evidence-based policymaking and for assessing the policy uptake of research outputs in the context of research evaluation.

Originality/Value

This is the first large-scale study to systematically examine the distribution of reference data in Overton. It contributes a foundational understanding of this emerging source for policy metrics, highlighting both its potential applications and limitations, and underlining the importance of addressing current coverage imbalances.

DOI: https://doi.org/10.2478/jdis-2025-0054 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 63 - 87
Submitted on: Jul 24, 2025
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Accepted on: Nov 4, 2025
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Published on: Nov 18, 2025
In partnership with: Paradigm Publishing Services

© 2025 Biegzat Murat, Zhichao Fang, Ed Noyons, Rodrigo Costas, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.