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Group Session January 24, 2025

Making the point on interoperability across Scientific Knowledge Graphs – Debriefing from the SKG-IF WG

Plenary: RDA 24th Plenary Meeting – Fully Virtual

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Meeting objectives

Collaborative session notes:
https://docs.google.com/document/d/1FoL15CXUOJInp-UhKhNMJfFAQLXr-qF-/edit#heading=h.c7kdyo4hmom2

The SKG-IF Working Group has been dedicated to addressing the challenges and opportunities for fostering interoperability among Scientific Knowledge Graphs (SKGs). Over the past year and a half, the WG has developed a foundational framework that enables diverse SKGs to interoperate more seamlessly, ensuring improved data sharing, reusability, and integration across scientific domains.

 

This session will serve as a platform to present and discuss the key outcomes of the WG, and will have the following objectives:

  • Dissemination: Share and discuss the final deliverables of the SKG-IF WG, including the interoperability framework and related guidelines or tools.
  • Engage Stakeholders: Provide a space for feedback from SKG practitioners, researchers, and policymakers on the WG outcomes.
  • Explore Applications: Highlight case studies or pilot implementations that demonstrate the impact of the framework in facilitating SKG interoperability.
  • Discuss Next Steps: Identify potential follow-up actions (e.g., API development), collaborations, and extensions to ensure the sustainability and adoption of the framework.

 

The session will include presentations, an interactive Q&A, and a panel discussion, ensuring active participation and diverse perspectives from the audience.

By gathering participants from the SKG and broader research data communities, the session aims to foster dialogue on implementing and extending the WG outputs. It will also provide a forum to discuss real-world use cases, identify gaps in current practices, and align future efforts with the broader RDA mission of advancing open and interoperable research data infrastructures.

Meeting presenters

Andrea Mannocci, Renaud Duyme, Miriam Baglioni, Thanasis Vergoulis, Silvio Peroni, Mike Bennett

Meeting agenda

Welcome and Introduction (5 minutes)

  • Presenter(s): Andrea Mannocci
  • Overview of the session objectives and agenda.
  • Brief introduction to the SKG-IF Working Group and its mission.

Presentation of WG Outputs (30 minutes)

  • Presenter(s): Andrea Mannocci, Renaud Duyme
  • Overview of the SKG Interoperability Framework: Key components, methodology, and guidelines.
  • Showcase of tools, resources, or documents developed by the WG.
  • What’s boiling in the kitchen? Next moves of the SKG-IF

Real-World Applications and Case Studies (25 minutes)

  • Adopters 1 – Providers: OpenAIRE (Miriam Baglioni), OpenCitations (Silvio Peroni), DataCite (Mike Bennett)
  • Adopters 2 – Projects: OSTrails (Renaud Duyme), SciLake (Thanasis Vergoulis), GraspOS (Andrea Mannocci)

Open Floor: Q&A and Feedback (20 minutes)

  • Interactive session for audience questions, suggestions, and insights.
  • Special points of discussion
    • Gaps in current SKG-IF developments and opportunities for future work.
    • Collaboration opportunities to extend and sustain the framework.
    • Strategies for encouraging broader adoption and engagement.

Closing Remarks and Call to Action (10 minutes)

  • Summary of key takeaways.
  • Invitation to participate in follow-up activities or initiatives.

Target audience

  • SKG consumers: scientists, communities, institutions, policymakers, funders
  • SKG providers targeting specific end-users:
    • Thematic graphs for scientists
    • Citation graphs for scientists, communities, institutions, policymakers, funders
    • Monitoring graphs for institutions, policymakers, funders
  • Data engineers and service providers working on SKG  information models (e.g. Scholix.org, OpenAlex, CERIF, Research Graph, OpenAIRE and PID Graph information models)
  • Groups interested in data/article/software linking (standardisation and adoption): publishers, repositories, researchers, funders

Group Activities and Scope

The goal of the Scientific Knowledge Graph Interoperability Framework (SKG-IF) Working Group is to develop a framework that enables seamless interoperability across scientific knowledge graphs (SKGs). This includes establishing guidelines, best practices, and technical recommendations to support:

  1. Data Integration and Interlinking: Enabling SKGs from diverse domains and organizations to be connected and harmonized.
  2. Standardisation: Promoting the adoption of shared vocabularies, ontologies, and data models to improve consistency and compatibility.
  3. Reusability: Facilitating the reuse of knowledge graph data in different contexts, enhancing its value for the scientific community.
  4. Interdisciplinary Collaboration: Supporting the use of SKGs in multidisciplinary research by breaking down silos and enabling data flow across domains.
  5. Scalability: Addressing challenges of scaling SKGs to accommodate growing datasets and more complex scientific relationships.

Over the past year and a half, the WG has met twice monthly for virtual working meetings.

Additional links to informative material

Short Group Status

The WG has officially wrapped up on RDA (final output being produced), but it is continuing its operations on possible extensions of the framework and its maintenance. We are considering applying for a new WG that is specially focused on API specifications.

Applicable Pathways

Training, Stewardship, and Data Management Planning

Please indicate at least (3) three breakout slots that would suit your meeting.

Breakout 1. Monday, 7 April, 07:00-08:30 UTC
Breakout 6. Wednesday, 9 April, 07:00-08:30 UTC
Breakout 9. Thursday, 10 April, 07:00-08:30 UTC