The effect of data sources on the measurement of open access: A comparison of Dimensions and the Web of Science

PLoS One. 2022 Mar 31;17(3):e0265545. doi: 10.1371/journal.pone.0265545. eCollection 2022.

Abstract

With the growing number of open access (OA) mandates, the accurate measurement of OA publishing is an important policy issue. Existing studies have provided estimates of the prevalence of OA publications ranging from 27.9% to 53.7%, depending on the data source and period of investigation. This paper aims at providing a comparison of the proportion of OA publishing as represented in two major bibliometric databases, Web of Science (WoS) and Dimensions, and assesses how the choice of database affects the measurement of OA across different countries. Results show that a higher proportion of publications indexed in Dimensions are OA than those indexed by WoS, and that this is particularly true for publications originating from outside North America and Europe. The paper concludes with a discussion of the cause and consequences of these differences, motivating the use of more inclusive databases when examining OA, especially for publications originating beyond North America and Europe.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abstracting and Indexing
  • Access to Information*
  • Bibliometrics
  • Databases, Factual
  • Open Access Publishing*

Grants and funding

This work is based on research funded by the International Development Research Centre (IDRC) Science Granting Councils Initiative in Sub-Saharan Africa program under project 109272: Open access in Africa: Indicators, infrastructure, and policies. https://www.idrc.ca/en/project/open-access-africa-indicators-infrastructure-and-policies VL, CRS The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.