Hi Fredrik,
Thank you for bringing this up. It is a challenge many of us in the community have encountered.
While Google Scholar focuses primarily on scholarly articles and often only indexes datasets when they are cited in those papers, Google provides a dedicated service specifically for this purpose: Google Dataset Search.
In my experience, rather than trying to force direct indexing into Google Scholar, the most effective approach is to ensure your repository's metadata is optimized for Google’s general search index. Google uses the schema.org vocabulary (specifically the Dataset type) to crawl and display these sets in Google Dataset Search.
Here are a few points that might help:
Schema.org Metadata: Dataverse usually exports metadata in JSON-LD format, which Google uses to discover datasets.
Sitemaps: Ensure your sitemap is up to date and accessible to Google’s web crawlers.
Google Search Console: You can use this tool to monitor how Google sees your repository and identify any indexing errors.
While it’s not exactly Google Scholar, Google Dataset Search is the standard "home" for data and is where most researchers now look for primary sources.
Best regards,
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