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Google Scholar discoverability. This article is intended advice for the Figshare for Institutions product. Discoverability of content is vital for success and one of the most important scholarly discovery portals is Google Scholar.
Google, Google Scholar, and Google Dataset Search. We mark up all content uploaded to Figshare to enable identification by Google. This involves configuring meta-tags in line with Google indexing guidelines so that their 'parser' software can identify your data when crawling the Figshare site.
Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.
What does Figshare’s search engine index? Figshare currently uses an Elasticsearch engine to search across all metadata fields. Faceted search can be performed to show different item types, popular or new items, or search by license.
All published research is indexed in common search engines like Google as well as academic specific Google Scholar, Google Dataset Search and national metadata registries.
This important new functionality is being done to better facilitate indexing in external search engines such as Google Scholar, especially as increasingly more institutions are using Figshare as an all-in-one repository.
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Figshare is an online open access repository where researchers can preserve and share their research outputs, including figures, datasets, images, and videos. It is free to upload content and free to access, in adherence to the principle of open data.
