Access DataCite Commons at https://commons.datacite.org.
DataCite Commons describes works, people, and organizations, and their connections and allows users to search for them. They are identified by persistent identifiers (PIDs): works (DOI), people (ORCID ID), and organizations (ROR ID), and have standard metadata that describe them and the connections to each other. Together they form the PID Graph, which is powered by the DataCite GraphQL API. DataCite Commons provides a public web search interface to the PID Graph.
DataCite Commons is work in progress as part of the European Commission-funded FREYA project with a first public version released in August 2020, with 30 million works, nine million people and 100,000 organizations. DataCite Commons will officially launch in October 2020.
DataCite Commons provides a single search interface for Works, People, and Organizations. Works are content registered with a DOI from DataCite, Crossref, or one of the other six scholarly DOI registration agencies. When DataCite Commons launched in September 2020 that includes all 20 million DataCite DOIs and 9 million (out of more than 110 million) Crossref DOIs, and the latter number should grow significantly until 2021. The People search integrates with the ORCID API and the Organizations search integrates with the ROR API. When on a page that lists works (person, organization or references and citations for a work), there is also a This Page search option.
DataCite Commons supports exactly the same queries as DataCite Search and DataCite Fabrica. Under the hood these are all query string queries from Elasticsearch. Some of the advanced features are briefly described below.
Queries by default search all fields, but a specific field can be provided in the query, e.g. https://commons.datacite.org?query=publicationYear:2016
For nested fields use the same format as in the REST API response, e.g. https://commons.datacite.org?query=creators.nameIdentifiers.nameIdentifierType:ORCID
Wildcards are supported, e.g. https://commons.datacite.org??query=creators.familyName:mil*
By default, all terms are optional, as long as one term matches. Use
- to specify terms that have to match or not match, respectively. For example https://commons.datacite.org?query=titles.title:climate%20+change
For number and date fields, we can specify a range. Wildcards are supported e.g. https://commons.datacite.org?query=publicationYear:[2019%20TO%20*] or https://commons.datacite.org?query=view_count:[1000%20TO%201999]
You can modify your search by using the following filters:
- Publication Year
- Work Type (using the DataCite ResourceTypeGeneral controlled List)
- License (using the SPDX controlled vocabulary)
- Language (using the ISO639-1 controlled vocabulary)
- Field of Science (using the OECD Fields of Science controlled vocabulary)
- Registration Agency (one of the eight DOI Registration Agencies for scholarly content)
For searching people, DataCite Commons uses the ORCID API and its query options described here. This includes support for field names and boolean operators as described above.
For searching organizations, DataCite Commons uses the ROR API and its query options. The ROR API also uses query string queries from Elasticsearch, and the query options are similar as for searching works.
DataCite Commons shows the following connections:
- Works: references, citations, views, and downloads
- People: works
- Organizations: works
The references and citations, shown for works come via related identifier information from DataCite and Crossref DOI metadata.
The views and downloads shown for works come via usage reports following the COUNTER standard submitted from repositories to DataCite.
The works shown for people come via creator name identifier information from DataCite and Crossref DOI metadata.
The works shown for people come via affiliation and funding information (using ROR and Crossref Funder Identifier) from DataCite and Crossref DOI metadata.
Listings of works (whether references, citations, or works associated with a particular person or organization) come in a standard format and allow queries, filtering, and pagination. They also display the following summary statistics:
- Works by publication year
- Works by work type
- Works by license
For works where the hosting repository has submitted usage reports to DataCite, we show monthly unique views and downloads.
This work was funded as part of the FREYA project. The FREYA project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777523.
Updated about a month ago