Events

GIST Seminar

The 140th GIST Seminar: "OpenAIRE Graph: Supporting Research Intelligence through Open Data"

The 140th GIST Seminar:
Speaker Dr. Andrea Mannocci
Researcher, Institute of Information Science and Technologies (ISTI), National Research Council of Italy (CNR)
Time 18:30-20:00, Thursday, March 12, 2026 (Doors open at 18:00)
Venue 4th Floor, Room 4A, GRIPS (On-site / Online Hybrid Format) 7-22-1 Roppongi, Minato-ku, Tokyo (Access)
Sponsor GRIPS Science, Technology and Innovation Policy Program
Language English (No interpreter)
Fee Free of charge (Registration required)
Document Flyer

<Outline>
This lecture introduces the OpenAIRE Graph, a large-scale open scholarly knowledge graph designed to support research in fields such as scientometrics, science and technology policy studies, and research intelligence. It begins with an overview of OpenAIRE and the background of the development of the OpenAIRE Graph, followed by a description of its key features, including the data model, data aggregation workflow, and design and operational principles grounded in open science.
The OpenAIRE Graph provides structured and semantically enriched metadata that interlinks research outputs--such as publications, datasets, and software--with authors, research institutions, projects, and funding information through explicit semantic relationships. This integrated structure enables advanced analytical capabilities, including the study of research dynamics, visualization of funding flows, mapping of collaboration networks, assessment of scholarly impact, and monitoring of progress in open science.
The lecture concludes by presenting concrete use cases and analytical examples demonstrating how the OpenAIRE Graph serves as an open research information infrastructure that supports research assessment, research monitoring, and strategic decision-making.

<Moderator>
Honami Numajiri, Assistant Professor at the Research and Development Laboratory, Kyoto University Library, Kyoto University (in charge of Open Science research). She received her PhD in Public Policy Analysis from the Science, Technology and Innovation Policy Program at GRIPS. Her research specializes in open data policy and the empirical analysis of open data practices. In particular, she utilizes open research information and data infrastructures such as OpenAlex and OpenAIRE to examine patterns of open data use and data citation, and to empirically investigate how open data influences researchers' activities and knowledge production.

<Program>
18:30-18:40     Introduction by Dr. Honami Numajiri (Moderator)
18:40-19:40     Presentation by Dr. Andrea Mannocci
19:40-20:00     Open discussion and close

<Note>
This seminar will be held in a hybrid format, both in person and online. For those participating online, the Zoom connection details will be sent by email by the day before the seminar.

Simplified personal history

Affiliated with the InfraScience Laboratory at CNR-ISTI (Institute of Information Science and Technologies, Italian National Research Council), and a participant in the EU project OpenAIRE Nexus, focusing on the development and analysis of the OpenAIRE Graph. Their research interests lie at the intersection of scientometrics and open science practices. They obtained a PhD in Information Engineering from the University of Pisa. Prior to their current position, they worked as a researcher at the Knowledge Media Institute (KMI) of Open University in Milton Keynes, United Kingdom, where they were a member of the SKM3 research team (Scholarly Knowledge Modeling, Mining, and Sensemaking). Their expertise centers on the application of data science techniques to scholarly big data and research analytics.

Application,Inquiry

Please register at this Registration Form (https://forms.gle/VtLbnMq25JSGqiC16) by 17:00, Tue, March.10. Please note that due to the capacity of the venue, the number of participants will be limited to 30 on a first-come, first-served basis. If you cannot open the form, please send email to GIST Secretariat, gist-ml@grips.ac.jp. Registration email must include: 1) your name, 2) institution, 3) position, and 4) e-mail address.
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