35 lines
1.9 KiB
Markdown
35 lines
1.9 KiB
Markdown
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slug: /
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id: intro
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sidebar_position: 1
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---
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# Overview
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The OpenAIRE Research Graph is one of the largest open scholarly record collections worldwide, key in fostering Open Science and establishing its practices in the daily research activities.
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Conceived as a public and transparent good, populated out of data sources trusted by scientists, the Graph aims at bringing discovery, monitoring, and assessment of science back in the hands of the scientific community.
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Imagine a vast collection of research products all linked together, contextualised and openly available. For the past years OpenAIRE has been working to gather this valuable record. It is a massive collection of metadata and links between scientific products such as articles, datasets, software, and other research products, entities like organisations, funders, funding streams, projects, communities, and data sources.
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As of today, the OpenAIRE Research Graph aggregates around 450Mi metadata records with links collecting from 2K data sources trusted by scientists, including:
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* Open Access journals registered in DOAJ
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* Crossref
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* Unpaywall
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* ORCID
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* Microsoft Academic Graph
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* Datacite
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And repositories registered in OpenDOAR, re3data.org, FAIRSharing.org, and the EOSC Service Catalogue. Among these, prominent repositories such as:
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* UKPubMed
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* ArXiv
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* HAL
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* Zenodo
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* Figshare
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* Dryad
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* Repec
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After cleaning, deduplication, enrichment and full-text mining processes, the graph is analysed to produce statistics for the [OpenAIRE MONITOR](https://monitor.openaire.eu), the [Open Science Observatory](https://osobservatory.openaire.eu), made discoverable via the [OpenAIRE EXPLORE](https://explore.openaire.eu) and programmatically accessible via [OpenAIRE Public APIs](https://develop.openaire.eu).
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Last but not least, the Graph data are openly available and can be used by third-parties to create added value services.
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