RISIS embraces the International Open Access Week 2022 with a session on the OpenAIRE Research Graph: an Open Access dataset with metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, data sources, and services. The session included a presentation of the graph and a guided practical session where participants can learn how to use the OpenAIRE Research Graph for research and policy-related activities. More information about the event is available on the RISIS2 project web site. The practical part has been conducted on the RISIS Lab Virtual Research Environment of the D4Science infrastructure operated by CNR - ISTI. The Jupyter notebooks can be run on the JupyterHub integrated in the RISIS Lab or in other JupyterHub instances supporting PySpark. The data analysis was performed on a subset of the OpenAIRE Research Graph composed of 848 H2020 projects related to the Sustainable Development Goal Climate Action (SDG13), their funded research products, and their related organizations (risis_dataset.zip). Details on the subset, the model, and other useful documentation is available in the slides.

RISIS tool demonstration event - The OpenAIRE Research Graph: an Open Access resource for research on research

Bardi A;Baglioni M;Atzori C
2022

Abstract

RISIS embraces the International Open Access Week 2022 with a session on the OpenAIRE Research Graph: an Open Access dataset with metadata about research products (literature, datasets, software, etc.) linked to other entities of the research ecosystem like organisations, project grants, data sources, and services. The session included a presentation of the graph and a guided practical session where participants can learn how to use the OpenAIRE Research Graph for research and policy-related activities. More information about the event is available on the RISIS2 project web site. The practical part has been conducted on the RISIS Lab Virtual Research Environment of the D4Science infrastructure operated by CNR - ISTI. The Jupyter notebooks can be run on the JupyterHub integrated in the RISIS Lab or in other JupyterHub instances supporting PySpark. The data analysis was performed on a subset of the OpenAIRE Research Graph composed of 848 H2020 projects related to the Sustainable Development Goal Climate Action (SDG13), their funded research products, and their related organizations (risis_dataset.zip). Details on the subset, the model, and other useful documentation is available in the slides.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Data analysis
Open Science
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/452392
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