#OpenAIREGraph

A knowledge graph is only as trustworthy as the quality of its data. The #OpenAIREGraph validates continuously, running checks, rebuilding monthly & verifying against authoritative sources. This ongoing process turns openness into reliability. 🔗Learn more

7.6M research products from @dblp_org are part of the #OpenAIREGraph, supporting comprehensive #ComputerScience #bibliographic data discovery. A key reference point for conferences, #journals & proceedings. 🔗 Dive in

📢 Update! #OpenAIREGraph v11.4.0 is now live This release adds 3.36Mi #research products, alongside broader PID, Field of Science and #OpenAccess coverage, and stronger links between research outputs & funded projects. 🔗 See all updates in the changelog

106Mi+ datasets are represented in the #OpenAIREGraph. #Datasets are essential research products that support #transparency, #reproducibility & reuse. Connecting them within the broader research landscape helps reveal how knowledge is created, shared & built upon across disciplines. Explore datasets with 🔗 #OpenAIREEXPLORE 🔗 Graph #API

The new #OpenAIREGraph #API is here! Join our webinar to explore its enhanced features for #bibliometrics, #discovery & #OpenScience monitoring. See real-world use cases & get your questions answered! Link below Register Now! #OpenData #ResearchLibrary

6Mi+ research outputs in the #OpenAIREGraph are connected to the grants and funders that support them. Making funding relationships visible helps connect investment with research outcomes, supporting discovery, monitoring, and assessment. 🔗 Explore funders & funded outputs:

#Research is not one discipline. 178.9Mi publications in the #OpenAIREGraph are classified by Field of Science. Helping you discover research by domain and supporting more meaningful, discipline-aware monitoring & analytics. 🔗 Explore

With v11, the #OpenAIREGraph introduces Person nodes, connecting researchers to their outputs, collaborations, affiliations, and funded projects. A new layer for exploring research activity in context. 🔗 Learn more

7.9Mi research products from #DBLP are represented in the #OpenAIREGraph, bringing extensive coverage of #ComputerScience research outputs. Reliable #ResearchIntelligence starts with reliable sources. Integrating authoritative disciplinary data helps build a richer, more complete research landscape. 🔗 Explore in #OpenAIREEXPLORE:

153M+ outputs in the #OpenAIREGraph are linked to #datasets & #software A web of connections allowing us to see how knowledge is built across publications, data & code, not just the final paper Explore connections 🔗 API 🔗 EXPLORE

How can open research infrastructures support funder workflows? In a recent collaboration with the ERC, OpenAIRE contributed to the validation of ERC-funded publications in SYGMA, using the @OpenAIREGraph. #OpenAIREGraph #OpenScience

Our #CommunityCalls are back! We're kicking off this new season with a deep dive into how to decide which access method to the #OpenAIREGraph best suits your needs. Register now! Link below. More info & registration #OpenData #OpenAccess #OpenScience

Join us for our Nov. #CommunityCall! Next month, #OpenAIREGraph Service Manager @claudioatzori will explore how national #research outputs can gain global visibility & impact through the #OpenAIRE Graph. More details & registration

The #OpenAIREGraph is honoured to be the authoritative source of data for the #EOSCEUNode which is now celebrating its two years in production. See what it's achieved!

Celebrating 2 years of the #EOSCEUNode! 🔹 6k+ active users 🔹 190M+ discoverable research products 🔹 50k+ visitors 🔹 7.7M+ virtual credits used 🔹 2k+ research groups 🔹 27 national & thematic nodes supported 🔗 Learn more:

Happening now at the @eosc_everse tutorial webinar! #OpenAIREGraph CTO @paolomanghi demonstrates how to enhance FAIRness of #ResearchSoftware (FAIR4RS) using the OpenAIRE Graph. Learn more about the Graph at #FAIRData #OpenData #OpenAccess #OpenScience

The @OpenAIRE_eu team is in Athens this week for an intensive technical meeting. We're making exciting progress on expanding the #OpenAIREGraph #DataModel to include infrastructure assets essential to science and capture the complexity of today's research ecosystem. Stay tuned!

Continuous validation keeps the #OpenAIREGraph reliable and trustworthy. Each month the Graph reconnects with thousands of sources, rebuilds using #AI & #TextMining, & verifies identifiers like #DOIs, @ORCID_org & #ROR. Learn more about this vital process:

The mutable truth of metadata. Research outputs evolve but for fair & transparent assessment, their #metadata shouldn't. See #OpenAIREGraph CTO @paolomanghi's arguments for why freezing & versioning metadata is essential in #OpenScience 🔗 Read the article

373Mi co-author relationships are represented in the #OpenAIREGraph Mapping connections between researchers helps make #collaboration networks visible, supporting discovery, community mapping & analytics that build on a shared #ResearchInfrastructure. 🔗 Explore with the Graph #API:

📢The #RAISEObservatory is live! Complemented by an inference system from #OPIX, the #OpenAIREGraph provides the core research information foundation for the Observatory delivering comprehensive insights into European AI in science. 🔗Explore #ResearchIntelligence #EuropeanStrategy #RAISE #DataGovernance