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L’ANR lance l’appel à projets Thématiques Spécifiques en Intelligence Artificielle 2025 pour encourager des travaux de recherche pluridisciplinaires et collaboratifs visant à favoriser l’adoption de l’IA dans la pratique scientifique et la conduite de la recherche. anr.fr/fr/detail/call/appel-a-

Research article to read : Open access improves the dissemination of science: insights from Wikipedia link.springer.com/article/10.1

Open access improves the dissemination of science: insights from Wikipedia - Scientometrics

Wikipedia is a well-known platform for disseminating knowledge, and scientific sources, such as journal articles, play a critical role in supporting its mission. The open access movement aims to make scientific knowledge openly available, and we might intuitively expect open access to help further Wikipedia’s mission. However, the extent of this relationship remains largely unknown. To fill this gap, we analyse a large dataset of citations from the English Wikipedia and model the role of open access in Wikipedia’s citation patterns. Our findings reveal that Wikipedia relies on open access articles at a higher overall rate (44.1%) compared to their availability in the Web of Science (23.6%) and OpenAlex (22.6%). Furthermore, both the accessibility (open access status) and academic impact (citation count) significantly increase the probability of an article being cited on Wikipedia. Specifically, open access articles are extensively and increasingly more cited in Wikipedia, as they show an approximately 64.7% higher likelihood of being cited in Wikipedia when compared to paywalled articles, after controlling for confounding factors. This open access citation effect is particularly strong for articles with high citation counts or published in recent years. Our findings highlight the pivotal role of open access in facilitating the dissemination of scientific knowledge, thereby increasing the likelihood of open access articles reaching a more diverse audience through platforms such as Wikipedia. Simultaneously, open access articles contribute to the reliability of Wikipedia as a source by affording editors timely access to novel results.

SpringerLink

La route vers le « green code » est pavée de bonnes intentions mais peu de solutions sont actionnables à ce jour. Cette conférence donne les clés de compréhension du développement logiciel durable (mobile en particulier) et montre comment le contrôle de la qualité de code avec SonarQube™ peut aider à relever le défi des limites globales. code.gouv.fr/fr/bluehats/ecoco

@rmounce Fascinating. It is an information coming from an online conference, without any webpage confirming it ?

Evaluating the Linguistic Coverage of OpenAlex: An Assessment of Metadata Accuracy and Completeness arxiv.org/abs/2409.10633?utm_s

Evaluating the Linguistic Coverage of OpenAlex: An Assessment of Metadata Accuracy and Completeness

Clarivate's Web of Science (WoS) and Elsevier's Scopus have been for decades the main sources of bibliometric information. Although highly curated, these closed, proprietary databases are largely biased towards English-language publications, underestimating the use of other languages in research dissemination. Launched in 2022, OpenAlex promised comprehensive, inclusive, and open-source research information. While already in use by scholars and research institutions, the quality of its metadata is currently being assessed. This paper contributes to this literature by assessing the completeness and accuracy of its metadata related to language, through a comparison with WoS, as well as an in-depth manual validation of a sample of 6,836 articles. Results show that OpenAlex exhibits a far more balanced linguistic coverage than WoS. However, language metadata is not always accurate, which leads OpenAlex to overestimate the place of English while underestimating that of other languages. If used critically, OpenAlex can provide comprehensive and representative analyses of languages used for scholarly publishing. However, more work is needed at infrastructural level to ensure the quality of metadata on language.

arxiv.org

Recherche Data Gouv a deux ans ! recherche.data.gouv.fr/fr/actu Rétrospective en images des 24 premiers mois de Recherche Data Gouv, l’écosystème composé de plus de 350 acteurs au service du partage et de l’ouverture des données de recherche.

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