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PLoS Biol ; 17(10): e3000385, 2019 10.
Artículo en Inglés | MEDLINE | ID: mdl-31600197

RESUMEN

Citation data have remained hidden behind proprietary, restrictive licensing agreements, which raises barriers to entry for analysts wishing to use the data, increases the expense of performing large-scale analyses, and reduces the robustness and reproducibility of the conclusions. For the past several years, the National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) has been aggregating and enhancing citation data that can be shared publicly. Here, we describe the NIH Open Citation Collection (NIH-OCC), a public access database for biomedical research that is made freely available to the community. This dataset, which has been carefully generated from unrestricted data sources such as MedLine, PubMed Central (PMC), and CrossRef, now underlies the citation statistics delivered in the NIH iCite analytic platform. We have also included data from a machine learning pipeline that identifies, extracts, resolves, and disambiguates references from full-text articles available on the internet. Open citation links are available to the public in a major update of iCite (https://icite.od.nih.gov).


Asunto(s)
Difusión de la Información/ética , National Institutes of Health (U.S.)/legislación & jurisprudencia , Publicación de Acceso Abierto/legislación & jurisprudencia , Política Organizacional , Bibliometría , Investigación Biomédica , Humanos , Aprendizaje Automático , Manuscritos como Asunto , National Institutes of Health (U.S.)/economía , Publicación de Acceso Abierto/economía , Estados Unidos
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