DataCite Commons

Access DataCite Commons at https://commons.datacite.org.

Introduction

DataCite Commons describes works, people, organizations and repositories 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 was officially launch in October 2020.

750

Search box at https://commons.datacite.org/ror.org/00k4n6c32.

Learn how to use DataCite Commons

Connections

Works, people, and organizations—and the connections between them—are searchable via DataCite Commons and the DataCite GraphQL API .

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.

Learn more about making and using connection metadata

Login

Using the DataCite profiles service you can login e.g. with your ORCiD, to the Commons service to add additional functionality.

Statistics

From the statistics page you can find a live summary of the data involved in the PID Graph.

1085

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.

200 200