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Neuroscience

The SciLake Neuroscience pilot bridges the European research infrastructure EBRAINS with SciLake's innovative services. It is led by researchers at the University of Oslo who are members of the EBRAINS data curation team.

At the heart of this initiative is the EBRAINS Knowledge Graph (https://search.kg.ebrains.eu), which hosts an impressive collection of over 1,100 curated datasets generated using a range of structural, functional, and molecular methods related to brain research. Our mission is to enhance this valuable resource by connecting it with neuroscience publications from the OpenAIRE Graph and enriching it with automated impact metrics and domain-specific metadata.

The project is developing an enhanced Scientific Knowledge Graph (SKG) for Neuroscience that combines SciLake's analytical capabilities with EBRAINS' and OpenAIRE’s extensive data resources. This integration will enable researchers to conduct innovative queries related to neuroscience research and monitor citation impacts across datasets and publications, and it will allow services to identify emerging trends and optimize data sharing and curation processes.

The SKG developed through the pilot will be made publicly available through the SciLake user interface "Bip! Finder" along with integrated impact indicators.


What we have achieved

The pilot’s journey has involved the following key steps:

  • Enriched the existing Neuroscience OpenAIRE Gateway to incorporate related research products, additional data sources, projects, and subjects and provided input on how data are represented. This gateway is configured to consolidate research outputs from neuroscience repositories and infrastructures. The journals selected as relevant for the neuroscience pilot were based on an established list (https://research.com/journals-rankings/neuroscience). The selected data repositories were endorsed by the International Neuroinformatics Coordinating Facility.
  • Identified and addressed improvements needed in the OpenAIRE Graph, including fixing issues with duplicate listings and versioning information.
  • Developed the first version of the new SKG for neuroscience research, integrating metadata from EBRAINS and other repositories using the openMINDS framework. This is available as an AvantGraph instance and via the user interface https://bip.imsi.athenarc.gr/search/neuroscience-pilot
  • Implemented SIRIS' data mining functionalities to connect datasets with relevant publications: extracted the openMINDS controlled terms ExperimentalApproaches, Techniques, PreparationTypes, Parcellations, BiologicalSex and Species from open access publications so that these could be linked to datasets with the same metadata Experiment with SKG contents (using AvantGraph queries, Lake API queries, BIP! Spaces UI, or/and SciNoBo assistant UI)
  • Published the Scientific Knowledge Graph for Neuroscience Research as a dataset based on the OpenAIRE SKG-IF representation, providing core entity nodes and relationships for Agents, Data sources, Grants, Products, Manifestations, Topics, and Venues. 

Related News

  • Presentation: The EBRAINS Data & Knowledge services: exploring synergies with EU’s SciLake project, presented at the workshopOpen Science Knowledge Graphs: Transforming the Way we Manage, Explore, and Analyze Scientific Knowledge” at Open Science FAIR 2023.
  • Press release: EBRAINS and SciLake collaborate to improve data services for neuroscience research
  • Presentation: A Novel SKG to Integrate Public Metadata and Analyse Trends in Neuroscience Research, presented at FENS Regional Meeting 2025.PresentationMerging Services for a Novel Neuroscience Knowledge Graph: Enhancing Data Integration and Tracking Research Impact, presented at EBRAINS Summit 2025.
  • Presentation: Exploring an Integrated Neuroscience SKG: Interlinked Outputs, Shared Entities, and Impact IndicatorsFinal SciLake dissemination event (March 2026)
  • Press release: Connecting Science: Bridging Knowledge Borders Through Knowledge Graphs (April 2026) 
  • Press releaseEBRAINS Advances European Effort to Connect Scientific Research Through Knowledge Graphs (May 2026)

SciLake at FENS Regional Meeting 2025


Workshop

SciLake at FENS Regional Meeting 2025

By Archana Golla and Stefania Amodeo

The Federation of European Neuroscience Societies (FENS) Regional Meeting 2025, held from June 16-19 in Oslo, Norway, brought together researchers, clinicians, and students from across the neuroscience community. The conference covered a broad spectrum of topics, from fundamental research to clinical applications, with special focus on the integration of artificial intelligence and computational models in neuroscience research.

SciLake Representation

Archana Golla from the University of Oslo represented the SciLake project, presenting a poster on our innovative Scientific Knowledge Graph (SKG) developed specifically for neuroscience research.

The poster titled "A Novel SKG to Integrate Public Metadata and Analyse Trends in Neuroscience Research" showcased SciLake's work in addressing the challenges of organizing and analyzing the growing volume of heterogeneous neuroscience research outputs.

Technical Innovation

Our neuroscience pilot has established a novel SKG by integrating:

Key Features of the SciLake Neuroscience SKG

The SKG offers several advanced capabilities:

  • Implementation in AvantGraph to facilitate advanced citation analyses
  • Integration of SIRIS entity recognition tools to establish connections between datasets and publications
  • Programmatic access and user-friendly interface highlighting linked datasets and publications
  • Comprehensive citation metrics to track research impact

Impact and Applications

The neuroscience SKG provides researchers and service providers with a powerful tool for:

  • Exploring research uptake and impact
  • Identifying emerging trends in neuroscience research
  • Optimizing research and data sharing efforts
  • Improving the visibility and accessibility of valuable datasets

Stay in touch

Following the positive reception at FENS 2025, the SciLake team will continue refining the SKG and expanding its capabilities. We invite researchers interested in exploring or contributing to this innovative tool to contact us through the project website: https://scilake.eu/neuroscience-case-study