Data science and analytics in libraries

Preza, José Luis Data science and analytics in libraries. Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen & Bibliothekare, 2017, vol. 70, n. 2, pp. 244-248. [Journal article (Paginated)]

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English abstract

Libraries have the virtue of managing vast amounts of information. Data Science and Analytics techniques and methodologies allow libraries to fully exploit the content they hold with the goal of providing better information to their users: better search, recommendations, etc.

German abstract

Bibliotheken sind in einer priviligierten Situation: Sie verwalten riesige Mengen von Daten und Informationen. Data Science und Analytics-Methoden ermöglichen es Bibliotheken, den Inhalt, den sie verwalten, voll auszunutzen, um den Nutzern bessere Informationen, Suche und Empfehlungen zu bieten.

Item type:	Journal article (Paginated)
Keywords:	Data Science; Analytics; Libraries; Machine Learning; e-Infrastructures Austria; Metadata; Datenanalytik; Bibliotheken; Metadaten
Subjects:	I. Information treatment for information services > IZ. None of these, but in this section.
Depositing user:	Austrian E-LIS editors
Date deposited:	31 Oct 2017 22:34
Last modified:	31 Oct 2017 22:34
URI:	http://hdl.handle.net/10760/31930

References

José Luis Preza. (2016, October 31). Automated Information Enrichment for a Better Search. Zenodo. DOI: http://doi.org/10.5281/zenodo.163933

José Luis Preza. (2016, September 25). The Best Repository for (Research) Data. LinkedIn. https://www.linkedin.com/pulse/best-repository-research-data-jos%C3%A9-luis-preza-d%C3%ADaz?trk=pulse_spock-articles

José Luis Preza. (2016, April 2). IBM Watson Analytics for Information Enrichment and a Better Search. https://www.linkedin.com/pulse/ibm-watson-analytics-information-enrichment-better-preza-d%C3%ADaz

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