CADRE: A Collaborative, Cloud-Based Solution for Big Bibliographic Data Research in Academic Libraries

Big bibliographic datasets hold promise for revolutionizing the scientific enterprise when combined with state-of-the-science computational capabilities. Yet, hosting proprietary and open big bibliographic datasets poses significant difficulties for libraries, both large and small. Libraries face si...

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Detalles Bibliográficos
Autores principales: Mabry, Patricia L., Yan, Xiaoran, Pentchev, Valentin, Van Rennes, Robert, McGavin, Stephanie Hernandez, Wittenberg, Jamie V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931882/
https://www.ncbi.nlm.nih.gov/pubmed/33693415
http://dx.doi.org/10.3389/fdata.2020.556282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931882/
https://www.ncbi.nlm.nih.gov/pubmed/33693415
http://dx.doi.org/10.3389/fdata.2020.556282

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