OpenAIRE Graph (OAG) is a knowledge graph that aggregates information (metadata, relationships) about different entities in the research world, such as publications, datasets, software, funded projects, repositories, and organisations. These entities are interconnected through semantic relationships, such as citations, supplements, similarity, and participation in projects. OAG is an open resource that can be used by funders, organisations, researchers, research communities, and publishers to gain a better understanding of the research landscape and dynamics at various levels, both local and global. As an open and freely accessible resource, produced in accordance with the fundamental values of Open Science as outlined in the UNESCO Recommendation on Open Science, OAG overcomes the use of proprietary data sources, supporting the reform of research assessment, researchers, and organisations as envisaged by the Coalition for Advancing Research Assessment (CoARA). OAG is built from bibliographic records obtained from well-known sources such as Crossref, open access journals registered in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, as well as from over 1,000 institutional repositories. The metadata of research products contained in the graph are disambiguated and enriched through full-text and data mining processes, making OAG usable for a variety of purposes, including: Research discovery Research assessment Analysis and/or prediction of research collaborations Support for research policy decision-making OAG is a freely accessible resource: search and discovery features are available through the explore.openaire.eu portal, programmatic integration is available through the HTTP Search API, the complete dataset, as well as other datasets that offer specialised views, are available on Zenodo. The monitor.openaire.eu portal hosts several dashboards dedicated to research organisations and funders that include the results of statistical, bibliometrics, and indicator analyses. Additional information is available at https://graph.openaire.eu, where the data models to which the datasets conform, API documentation, as well as the methodological approach used to build and process OAG are described. OAG can play a significant role in research assessment by providing a more comprehensive and accurate view of research output and impact. By aggregating data from a variety of sources, OAG can provide a more holistic picture of a researcher's or organization's research activities. This can help to identify areas of strength and weakness, as well as potential areas for collaboration. OAG can also be used to track the impact of research over time. By tracking citations, downloads, and other forms of engagement, OAG can help to measure the influence of research and the impact it has on society. This information can be used to inform research funding decisions, as well as to promote the dissemination of research findings. In addition to its quantitative measures, OAG can also provide qualitative insights into research. By analyzing the relationships between different research products, OAG can help to identify emerging trends and areas of collaboration. This information can be used to support research policy development and to promote the cross-fertilization of ideas. In conclusion, OAG is a powerful tool that has the potential to revolutionise the way research is assessed. By providing a more comprehensive and accurate view of research output and impact, OAG can help to make research assessment more fair, transparent, and equitable.
L'OpenAIRE Graph (OAG) è un knowledge graph costruito aggregando informazioni (metadati, relazioni) riguardo diverse entità del mondo della ricerca quali pubblicazioni, dataset, software ed altri prodotti, progetti finanziati, repository ed organizzazioni, interconnesse tra loro attraverso relazioni semantiche (e.g. citazioni, supplementi, similarità, partecipazione a progetti). L'OAG è una risorsa aperta che può essere utilizzata da enti finanziatori, organizzazioni, ricercatori, comunità di ricerca e editori per ottenere una migliore comprensione del panorama e delle dinamiche della ricerca a vari livelli, sia locale che globale. Trattandosi di una risorsa aperta e liberamente accessibile, prodotta rispettando i valori fondamentali dell'Open Science elaborati nella raccomandazione dell'UNESCO sulla Scienza Aperta, l'OAG permette di superare l'uso di sorgenti dati proprietarie supportando la riforma della valutazione della ricerca, dei ricercatori e delle organizzazioni previste dalla Coalition for Advancing Research Assessment (CoARA). L'OAG è costruito a partire da record bibliografici ottenuti da sorgenti note quali Crossref, le riviste open access registrate in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, cosi come da oltre 1000 repository istituzionali. I metadati dei prodotti della ricerca contenuti nel grafo sono disambiguati ed arricchiti grazie a processi di full text e data mining, questo rende l'OAG utilizzabile per una varietà di scopi, tra cui: research discovery, valutazione della ricerca, analisi e/o predizione delle collaborazioni di ricerca, supporto ai processi di decisione delle politiche di ricerca. L'OAG è una risorsa liberamente accessibile: le funzionalità di search & discovery sono disponibili attraverso il portale explore.openaire.eu, l'integrazione per via programmatica è disponibile attraverso le HTTP Search API, il dataset completo, così come altri dataset che offrono viste specializzate sono disponibili su Zenodo. Il portale monitor.openaire.eu ospita diverse dashboard dedicate ad organizzazioni di ricerca ed enti finanziatori che includono i risultati di analisi statistiche, bibliometriche, ed indicatori. Ulteriori informazioni sono disponibili su https://graph.openaire.eu, in cui sono descritti i modelli dati ai quali rispondono i dataset, la documentazione delle API, così come l'approccio metodologico utilizzato per la costruzione e l'elaborazione dell'OAG. A Luglio 2023 l'OAG include circa 170 milioni di pubblicazioni, 40 milioni di dataset, 110K research software ed oltre 3 miliardi di relazioni tra essi. Questo lo rende una delle più grandi raccolte di record accademici al mondo. Ha il potenziale di avere un impatto significativo sul modo in cui la ricerca viene condotta e comunicata. Rendendo più facile trovare, comprendere e utilizzare i dati di ricerca, l'OAG può aiutare a: accelerare la scoperta scientifica, migliorare la collaborazione in materia di ricerca, supportare le decisioni sulle politiche di ricerca, monitorare i progressi della ricerca, identificare le aree in cui sono necessari maggiori investimenti, aumentare la visibilità della ricerca nei paesi in via di sviluppo, supportare la riproducibilità della ricerca, promuovere le pratiche di open science. Per queste sue caratteristiche, l'OAG ha il potenziale per contribuire significativamente al progresso della scienza e della società.
OpenAIRE Graph: una risorsa aperta per la scienza aperta
Atzori C;Bardi A;Baglioni M;Manghi P
2023
Abstract
OpenAIRE Graph (OAG) is a knowledge graph that aggregates information (metadata, relationships) about different entities in the research world, such as publications, datasets, software, funded projects, repositories, and organisations. These entities are interconnected through semantic relationships, such as citations, supplements, similarity, and participation in projects. OAG is an open resource that can be used by funders, organisations, researchers, research communities, and publishers to gain a better understanding of the research landscape and dynamics at various levels, both local and global. As an open and freely accessible resource, produced in accordance with the fundamental values of Open Science as outlined in the UNESCO Recommendation on Open Science, OAG overcomes the use of proprietary data sources, supporting the reform of research assessment, researchers, and organisations as envisaged by the Coalition for Advancing Research Assessment (CoARA). OAG is built from bibliographic records obtained from well-known sources such as Crossref, open access journals registered in DOAJ (Directory of Open Access Journals), ORCID, Microsoft Academic Graph, Datacite, as well as from over 1,000 institutional repositories. The metadata of research products contained in the graph are disambiguated and enriched through full-text and data mining processes, making OAG usable for a variety of purposes, including: Research discovery Research assessment Analysis and/or prediction of research collaborations Support for research policy decision-making OAG is a freely accessible resource: search and discovery features are available through the explore.openaire.eu portal, programmatic integration is available through the HTTP Search API, the complete dataset, as well as other datasets that offer specialised views, are available on Zenodo. The monitor.openaire.eu portal hosts several dashboards dedicated to research organisations and funders that include the results of statistical, bibliometrics, and indicator analyses. Additional information is available at https://graph.openaire.eu, where the data models to which the datasets conform, API documentation, as well as the methodological approach used to build and process OAG are described. OAG can play a significant role in research assessment by providing a more comprehensive and accurate view of research output and impact. By aggregating data from a variety of sources, OAG can provide a more holistic picture of a researcher's or organization's research activities. This can help to identify areas of strength and weakness, as well as potential areas for collaboration. OAG can also be used to track the impact of research over time. By tracking citations, downloads, and other forms of engagement, OAG can help to measure the influence of research and the impact it has on society. This information can be used to inform research funding decisions, as well as to promote the dissemination of research findings. In addition to its quantitative measures, OAG can also provide qualitative insights into research. By analyzing the relationships between different research products, OAG can help to identify emerging trends and areas of collaboration. This information can be used to support research policy development and to promote the cross-fertilization of ideas. In conclusion, OAG is a powerful tool that has the potential to revolutionise the way research is assessed. By providing a more comprehensive and accurate view of research output and impact, OAG can help to make research assessment more fair, transparent, and equitable.| File | Dimensione | Formato | |
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Descrizione: OpenAccessWeek2023 - OpenAIRE Graph
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