DataCite’s 2025 public data file is now available in the Dimensions BigQuery Lab through a partnership with Digital Science, making it easier for users to explore and analyze metadata for more than 100 million research outputs.
Thanks to generous support from Digital Science, DataCite’s public data file will be hosted free of charge on Google BigQuery for anyone to access. All DataCite metadata is openly available by default, and DataCite metadata services cover a full spectrum of needs and skillsets to support consumption of this metadata in different ways and for different purposes, from a specific bibliographic citation query for a single DOI to a large-scale harvesting process. The data file on Google BigQuery complements other offerings that DataCite continues to support, such as JSON and CSV data file downloads, monthly data snapshots, REST API and OAI-PMH endpoints, and DataCite Commons.
“DataCite metadata is an essential source for information about research outputs and activities from organizations around the world, and we are always looking for new ways to support discovery and downstream usage of this metadata,” said Maria Gould, Director of Strategic Programs and Partnerships. “We are excited to partner with Digital Science to offer a new option for users interested in exploring the richness of this metadata and the connections within it.”
“Digital Science products are either ‘Built on Open’ or ‘benefit from open,’ said Simon Porter, VP Research Futures. “ As just one example, although supplemented by proprietary data or significant investments in data enhancement Dimensions would not exist without being built on Crossref, DataCite, PubMed, arXiv, DOAR, and ORCID, to name just a few components. It is natural therefore that there should be ways to collaborate and to support the open data community. By making DataCite snapshots available on BigQuery alongside the yearly ORCID snapshots, Digital Science is continuing its long-standing commitment to Open Research Infrastructure. When data is easy to analyse, insights and actions follow, and we are excited to explore with the community the new opportunities this access provides. ”
Any user interested in exploring DataCite metadata in Google BigQuery can get started immediately by following the BigQuery Sandbox instructions. You will need a Google Account to access the console. For more information and guidance, see the DataCite BigQuery documentation page and sample DataCite queries. Have questions about a particular aspect of DataCite metadata? The DataCite Metadata Schema and DataCite support documentation are a great place to start, and you can reach out to support@datacite.org with further questions.
Simon Porter
