Platforma Otwartej Nauki ICM UW
zaprasza na webinarium:
The OpenAIRE
Graph. An Open Resource for Open
Science
22 października 2024 r., godz.
10.00-11:00 CEST // October 22nd 2024, 10-11am CEST
gość: dr Claudio Atzori, Lead
Data Engineer OpenAIRE Graph
OpenAIRE Graph to darmowy i otwarty
zasób, który łączy miliony rekordów metadanych z ponad 100 tysięcy
źródeł danych. Do czego służy to narzędzie i w jaki sposób gromadzi
informacje?
Spotkanie będzie prowadzone w
języku angielskim.
Zapraszamy w szczególności:
- naukowców,
- bibliotekarzy i data stewardów,
- administratorów i obsługę repozytoriów,
- wszystkich zainteresowanych otwartą nauką.
Full description:
This webinar will showcase the OpenAIRE Graph, a comprehensive
collection of scholarly metadata, offering a 360-degree view of
global research products. It integrates publications, data,
software, and more, enabling users to explore and track research
outputs and their impact. The Graph features advanced data cleaning
and enrichment processes, ensuring precision and openness. It
supports a range of applications for researchers, institutions, and
thematic communities, allowing users to track citations, link
research outputs, and monitor research impact.
The presentation highlights OpenAIRE's
global collaborations, its commitment to openness, and its role in
the future of open science, including interoperability with
platforms like EOSC and compliance with open science
guidelines.
Speaker: Dr. Claudio
Atzori, Lead Data Engineer of the OpenAIRE Graph
Dr. Claudio Atzori is a researcher at
the National Research Council of Italy (CNR) with a decade of
experience in Information and Communication Technologies (ICT),
specializing in Open Science, data infrastructure, and knowledge
graphs. His research has been instrumental in developing innovative
solutions for aggregating, harmonizing, and making research data
more accessible and reusable. Throughout his career, Dr. Claudio
Atzori has been actively involved in numerous European research
projects, where he has contributed to the development of
open-source software platforms for data aggregation, management,
and processing. His work has had a significant impact on the field
of Open Science, fostering greater transparency, reproducibility,
and collaboration among researchers.
