Structured content analysis of open access book policies: European university and research funder approaches

Lisa Matthias et al.

Science and Public Policy2026https://doi.org/10.1093/scipol/scag021article
AJG 2ABDC C
Weight
0.50

What the paper says

Abstract While research on open access (OA) policies has expanded in recent years, systematic research examining the textual content and specific policy elements remains limited, particularly for books. Drawing on a review of existing research and an analysis of sixty-six recent OA book policies, this study introduces a novel methodological framework for structured policy analysis and maps the current OA book policy landscape in Europe. Our results reveal substantial heterogeneity in the policy environment, with variation both in the presence of policy elements and in their operationalization across policies. This diverse policy environment creates implementation challenges at multiple levels, from researchers managing different requirements to institutions developing support strategies, and publishers adapting their services to meet varied policy demands. Given that OA policies significantly impact research practices at individual, institutional, and national levels, yet systematic evidence remains scarce, our findings emphasize the need for increased research and monitoring in this domain.

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https://doi.org/https://doi.org/10.1093/scipol/scag021

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@article{lisa2026,
  title        = {{Structured content analysis of open access book policies: European university and research funder approaches}},
  author       = {Lisa Matthias et al.},
  journal      = {Science and Public Policy},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1093/scipol/scag021},
}

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Structured content analysis of open access book policies: European university and research funder approaches

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.