Open Science Graphs for FAIR Data Interest Group
- Amir Aryani (Research Graph Foundation)
- Martin Fenner (DataCite)
- Wouter Haak (Elsevier, Mendeley Data)
- Paolo Manghi (OpenAIRE Infrastructure - Institute of Information Science and Technologies, CNR, IT)
The goal of the Open Science Graphs Interest Group (OSG WG) is to build on the outcomes and broaden the challenges of the Data Description Registry Interoperability (DDRI) and Scholarly Link Exchange (Scholix) RDA Working Groups to investigate the open issues and identify solutions towards achieving interoperability between services and information models of 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.
Open Science is urging scientists, communities, institutions, and policymakers toefine and adopt methodologies, practices, and tools for publishing research products, beyond the scientific article, including research data, software, digital experiments, etc. The ultimate goal is to achieve transparency and reproducibility of science. As a consequence of this trend, researchers are depositing into scholarly communication data sources the metadata and files relative to all these products, together with semantic links between them, and towards other relevant entities, such as those kept in registries for authors, organizations, and data repositories (e.g. ORCID, ROR, re3data.org). De facto, Open Science publishing practices materialize a distributed/federated/de-centralized and global Open Science Graph. Needless to say, there is a great interest to contribute to and/or consume this Graph for sharing, discovering, and monitoring Open Science. To address this, several initiatives are aggregating targeted subsets of such sources to build specialized Open Science Graphs, subsets of the global Open Science Graph, capable of serving specific user needs: Google Scholar, Microsoft Academics, Scopus, FREYA PID Graph, Research Graph Foundation, OpenAIRE Research Graph, Open Knowledge Graph, Human Brain Project Knowledge Graph, as well as the CERIF graphs built via CRIS systems are just a few of the real-case graphs being built and consumed out there.