ERIC JEANGIRARD
Data Scientist - Ministère de l'Enseignement Supérieur et de la Recherche
100%
Libre accès
7
Documents
Affiliations actuelles
- 414800
Identifiants chercheurs
- eric-jeangirard
- 0000-0002-3767-7125
- IdRef : 242241344
Présentation
Eric Jeangirard is a data scientist at the French Ministry of Higher Education and Research. He began his career developing quantitative tools and machine-learning algorithms in major private sector industries (investment banking, airline, classified ad marketplace). His work now focuses on building data-driven tools (from algorithm development to cloud deployment) to support and steer public policies of the French Ministry of Higher Education and Research and French research institutions.
Together with his colleagues, Eric developed alternative bibliometric tools completely independent of any proprietary database. The French Open Science Monitor is one the use-case they developed. Their focus is not only on scholarly publications but also on Ph.D. thesis, clinical trials, research data, and research software. Another use-case is the national research portal, scanR where machine learning techniques are applied to link together institutions, authors, productions and grants.
Publications
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L’utilisation de l’apprentissage automatique dans le Baromètre de la science ouverte : une façon de réconcilier bibliométrie et science ouverte ?Arabesques, 2022, 107, pp.10-11. ⟨10.35562/arabesques.3084⟩
Article dans une revue
hal-03819060v1
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Monitoring Open Access at a national level: French case studyELPUB 2019 23rd edition of the International Conference on Electronic Publishing, Jun 2019, Marseille, France. ⟨10.4000/proceedings.elpub.2019.20⟩
Communication dans un congrès
hal-02141819v1
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Large-scale Machine-Learning analysis of scientific PDF for monitoring the production and the openness of research data and software in France2023
Pré-publication, Document de travail
hal-04121339v3
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Extending the open monitoring of open science2022
Pré-publication, Document de travail
hal-03651518v1
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Using Elasticsearch for entity recognition in affiliation disambiguation2021
Pré-publication, Document de travail
hal-03365806v1
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Content-based subject classification at article level in biomedical context2021
Pré-publication, Document de travail
hal-03212544v1
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Scholarly Infrastructures for Research SoftwareEuropean Comission. 2020, https://op.europa.eu/fr/publication-detail/-/publication/145fd0f3-3907-11eb-b27b-01aa75ed71a1/
Rapport
hal-04134056v1
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