Extracted Metadata Combined.
The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key in
fostering Open Science and
establishing its practices in the daily research activities. Conceived as a public and transparent good,
populated out of data sources
trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment or science back in
the hands of the scientific
community.
Imagine a vast collection of research products all linked together, contextualised and openly available.
For
the past ten years OpenAIRE
has been working to gather this valuable record. OpenAIRE is pleased to announce the beta release of its
Research Graph, a massive
collection of metadata and links between scientific products such as articles, datasets, software, and
other
research products, entities like
organisations, funders, funding streams, projects, communities, and data sources.
As of today, the OpenAIRE Research Graph aggregates around 450Mi metadata records with links collecting
from
10,000 data sources
trusted by scientists! After cleaning, deduplication, and fine-grained classification processes, they
narrow
down to ~100Mi publications,
~8Mi datasets, ~200K software research products, 8Mi other products linked together with semantic
relations.
More than 10Mi full-texts of Open Access publications are mined by algorithms to enrich metadata records
with additional properties and
links among research products, funders, projects, communities, and organizations. Thanks to the mining
algorithm, the graph is completed
with 480Mi semantic relations.