Open Science Graphs interoperability: data models and data exchange protocols

You are here

26 Jan 2021
Group(s) submitting the application: 
Meeting objectives: 

Collaborative session notes:


An Open Science Graph (OSG) is an information space describing through metadata one or more entities and actors involved in science and knowledge production (projects, publications, data, software, services, researchers, organizations, facilities, etc.). 

The work of the IG focuses on open challenges in Open Science Graphs for FAIR DataThe objective of the session has twofold objective of:

  • Introducing the challenges of Open Science Graphs (OSGs) for FAIR Data IG and presenting a list of RDA WGs that may spring out of it, and

  • Bootstrapping the discussion about one specific Working Group on “data models and exchange protocols for Open Science Graphs interoperability”.

For the second part, a group of invited speakers will illustrate their work on known OSGs (ResearchGraph, FREYA PID Graph, Open Knowledge Research Graph, OpenAIRE Research Graph) with specific reference to:

  • Data model: the specific OSG’s research-related entities, management and types of PIDs;

  • Exchange protocols: the specific APIs and data exchange formats adopted to share and expose the OSG content.

Such presentations will be followed by the presentation of some preliminary work in the direction of finding convergence on such approaches. The discussion will then be opened to the attendees in order to:

  • Identify broad agreements and disagreements on the WG topics, to build a strong starting point;

  • Establish a roadmap of work and potential submission of a dedicated RDA WG on the topic.

Meeting agenda: 
  • A brief introduction to the IG: challenges and potential WG spin-offs (Paolo Manghi)

  • Short presentations of data models and data exchange protocols for Open Science Graphs: 

    • ResearchGraph (Amir Aryani)

    • FREYA PID Graph (Martin Fenner)

    • Open Knowledge Research Graph (Markus Stocker) 

    • OpenAIRE Research Graph (Paolo Manghi)

  • Preliminary ideas of a data model and more (Andrea Mannocci)

  • Brainstorm and next steps (All)

Target Audience: 
  • Publishers who want to understand better how to leverage on and contribute to OSGs;

  • Data repositories/centers who want to understand better how to leverage on and contribute to OSGs;

  • Consumers (e.g. SMEs, scholarly services) of (bulk) OSGs to build services (impact, discovery, publishing)

  • OSGs aggregators (e.g. CrossRef, DataCite, OpenAIRE, ORCiD, OKRG, ResearchGraph, MAG, etc.) to exchange information and benefit from added-value brought by third-party graphs.

Group chair serving as contact person: 
Brief introduction describing the activities and scope of the group: 

The goal of the Open Science Graphs Interest Group (OSG IG) is to build on the outcomes of other RDA WGs/IGs to investigate the open issues and identify solutions towards achieving interoperability between Open Science Graph initiatives. The aim is to improve FAIRness of research data, and more generally FAIR*-ness of science, by enabling the smooth exchange of the interlinked metadata overlay required to access research data at the meta-level of the discovery-for-citation/monitoring and at the thematic level of the discovery-for-reuse. Such “FAIR-ness” and “interlinked-ness” provide strong support for research integrity and research innovation which in turn underpin significant social, environmental and economic benefits.

Short Group Status: 

The Interest Group was settled in 2019, had a BoF at P13 Philadelphia, first presented in P14 Helsinki, then progressed slowly due to P15 and P16 being virtual, but still raised a lot of interest in the RDA community, accounted for by the long list of subscribers. Since its establishment, co-chairs have met 3 times, defined a concrete roadmap for the IG, and co-authored a position paper on the topic. The meeting will therefore be the occasion to bootstrap activities or Working Groups on a larger scale, involving the rather consistent list of IG members, on the high-priority topics of data modelling and exchange formats for Open Science Graphs.

Estimate of the required room capacity (Hybrid plenary): 
Type of Meeting: 
Working meeting
Remote participation availability (only for physical Plenaries): 
Avoid conflict with the following group (1): 
Avoid conflict with the following group (2): 
Avoid conflict with the following group (3): 
Meeting presenters: 
Paolo Manghi, Martin Fenner, Amir Aryani, Markus Stocker, Andrea Mannocci