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Paper

Long term global trends in open access. A data paper

MPS-Authors

Heidbach,  Katja
Big Data Analytics Group, Max Planck Digital Library, Max Planck Society;

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Knaus,  J.
Big Data Analytics Group, Max Planck Digital Library, Max Planck Society;

Laut,  Ingo
Big Data Analytics Group, Max Planck Digital Library, Max Planck Society;

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Palzenberger,  Margit
Big Data Analytics Group, Max Planck Digital Library, Max Planck Society;

External Resource

https://doi.org/10.17617/3.8s
(Research data)

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Citation

Heidbach, K., Knaus, J., Laut, I., & Palzenberger, M. (2022). Long term global trends in open access. A data paper. doi:10.17617/2.3361428.


Cite as: https://hdl.handle.net/21.11116/0000-0009-C475-6
Abstract
Studies on long term trends in open access are of interest for the assessment of the evolution of scientific publishing and related markets. We therefore compiled and analysed a data set that integrated Web of Science as a global bibliographic data source on internationally relevant publications with data from Unpaywall, the primary provider of information related to open access at publication level. Data were captured in 2021 and show the open access categories as defined by Unpaywall for the publication years 2000 to 2020. In these two decades open access has gained substantial momentum. Starting with a few per cent, it now covers roughly half of the publications when embargo periods are over. The comparison of four variants of subsets of these data, however, show the wide variability in absolute and relative numbers. Results depend heavily on the characteristics of the data sources and the subsets selected within these. Major factors are listed and discussed. Aggregated data are provided in the MPG data repository.