Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Reflections on Gender Analyses of Bibliographic Corpora
por: Mihaljević, Helena, et al.
Publicado: (2019) -
Application of a Novel Subject Classification Scheme for a Bibliographic Database Using a Data-Driven Correspondence
por: Kurakawa, Kei, et al.
Publicado: (2020) -
Making Big Sense From Big Data
por: Hartung, Thomas
Publicado: (2018) -
Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security
por: Qayyum, Adnan, et al.
Publicado: (2020) -
Big Data and the Little Big Bang: An Epistemological (R)evolution
por: Balazka, Dominik, et al.
Publicado: (2020)