A Scientific Lake to Democratise Knowledge: The OpenAIRE Graph and SciLake's Ecosystem

Scientific Knowledge Graphs (SKGs) are innovative tools for contextualising and linking information and offering a holistic view of the research landscape.The OpenAIRE Graph is a global SKG that aggregates research metadata and links from over 130k data sources, including repositories, academic journals, and registries. Using advanced AI tools, it extracts and classifies information through a complex aggregation-enrichment-deduplication workflow. The result is a SKG of over 250M research products including publications, research data, and software, which are linked to their funding and producing entities while their usage and impact are monitored.The OpenAIRE Graph serves multiple crucial functions in the research ecosystem. It enhances scientific discovery by enabling efficient navigation of research outputs, facilitates bibliometric analysis through citation metrics and indicators, and helps monitor the adoption of Open Science policies.Building on this foundation, the SciLake project is developing a dynamic and robust ecosystem to enhance the efficiency of daily research routines, transforming fragmented and disorganised domain knowledge into standardised and interoperable SKGs. This initiative brings together technical experts in knowledge management and domain specialists from four scientific disciplines: neuroscience, cancer, transportation, and energy. SciLake introduces the innovative concept of open “Scientific Lake”: a comprehensive set of customizable components enabling researchers to efficiently create, interlink, and maintain domain-specific SKGs. This ecosystem facilitates seamless access and querying of extensive scientific data, significantly enhancing research capabilities. Furthermore, SciLake leverages this Scientific Lake to offer tailored, discipline-specific services that empower researchers and domain experts to conduct more thorough scientific exploration and improve research reproducibility. This presentation showcases the SciLake ecosystem of components, demonstrating how our innovative approach combines the power of the OpenAIRE Graph with domain-specific knowledge to create a versatile and user-friendly platform that is used by researchers across diverse fields. Presentation at INORMS Congress Madrid 2025.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-05
DOI
https://doi.org/10.5281/zenodo.15602817
Primary Topic
Advanced Graph Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Scientific Lake to Democratise Knowledge: The OpenAIRE Graph and SciLake's Ecosystem

Zenodo (CERN European Organization for Nuclear Research)
Advanced Graph Neural Networks
article

A Scientific Lake to Democratise Knowledge: The OpenAIRE Graph and SciLake's Ecosystem

article en

Abstract

Scientific Knowledge Graphs (SKGs) are innovative tools for contextualising and linking information and offering a holistic view of the research landscape.The OpenAIRE Graph is a global SKG that aggregates research metadata and links from over 130k data sources, including repositories, academic journals, and registries. Using advanced AI tools, it extracts and classifies information through a complex aggregation-enrichment-deduplication workflow. The result is a SKG of over 250M research products including publications, research data, and software, which are linked to their funding and producing entities while their usage and impact are monitored.The OpenAIRE Graph serves multiple crucial functions in the research ecosystem. It enhances scientific discovery by enabling efficient navigation of research outputs, facilitates bibliometric analysis through citation metrics and indicators, and helps monitor the adoption of Open Science policies.Building on this foundation, the SciLake project is developing a dynamic and robust ecosystem to enhance the efficiency of daily research routines, transforming fragmented and disorganised domain knowledge into standardised and interoperable SKGs. This initiative brings together technical experts in knowledge management and domain specialists from four scientific disciplines: neuroscience, cancer, transportation, and energy. SciLake introduces the innovative concept of open “Scientific Lake”: a comprehensive set of customizable components enabling researchers to efficiently create, interlink, and maintain domain-specific SKGs. This ecosystem facilitates seamless access and querying of extensive scientific data, significantly enhancing research capabilities. Furthermore, SciLake leverages this Scientific Lake to offer tailored, discipline-specific services that empower researchers and domain experts to conduct more thorough scientific exploration and improve research reproducibility. This presentation showcases the SciLake ecosystem of components, demonstrating how our innovative approach combines the power of the OpenAIRE Graph with domain-specific knowledge to create a versatile and user-friendly platform that is used by researchers across diverse fields. Presentation at INORMS Congress Madrid 2025.

Zenodo (CERN European Organization for Nuclear Research)
Athena Research and Innovation Center In Information Communication & Knowledge Technologies (GR), OpenAIRE Non-Profit Civil Partnership
Openalex Percentile: Top 77%
Advanced Graph Neural Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.