Clarivate Analytics has announced the addition of open access data to Journal Citation Reports profile pages to increase transparency around open access models in scholarly publishing. Journal Citation Reports is an annual journal report from the Web of Science, the world’s largest publisher-independent global citation database.
The new data show each journal’s articles by access model. This provides the research community with transparent, publisher-neutral information about the relative contribution of articles published free to read and re-use under Creative Commons licenses (‘gold open access’) to a journal’s overall volume of content and citations. The new feature is in beta until the launch of the 2020 Journal Citation Reports in June.
For the approximately 5,200 hybrid journals in Journal Citation Reports, readers will now quickly and easily be able to identify the number of papers published via the traditional subscription model; and those published via Creative Commons licenses.
The research publishing landscape is undergoing rapid change, disrupting the longstanding dominance of the subscription model and replacing it with open access models. Both funders and publishers are looking to improve transparency of open access, with publishers under increasing pressure to eliminate or shorten embargoes, improve open access options, and to ‘flip’ traditional subscription or hybrid journals to make all research articles freely accessible and re-usable upon publication via a Creative Commons license.
Researchers are increasingly interested in open access publishing. Including descriptive open access data in the Web of Science Journal Citation Reports allows researchers to quickly and easily view the amount of gold open access content (if any) in their preferred journal and see how it contributes to the overall citation performance of the journal. It also enables them to monitor community norms in their research discipline by viewing the extent to which their peers are making articles available via gold open access options. This information could also help publishers make data-driven decisions on when/whether to ‘flip’ journals from a subscription or hybrid model to fully open access.
Libraries have many competing demands on their time – negotiating transformative agreements with publishers, educating faculty and students, and tracking evolving policies from multiple stakeholders. The new descriptive data enables them to quickly understand the relative contribution of open access articles to a journal’s overall volume of content and citations, help patrons comply with funder open access mandates, and dispel myths about open access with visualizations that show how reputable journals offer open access.
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