Big Data, Data Analyst, and Competence Improvement of Librarian

Albertus Pramukti Narendra

= http://dx.doi.org/10.20473/rlj.V1-I2.2015.83-93
Abstract views = 1674 times | views = 9065 times

Abstract


Issue of Big Data was already raised by Fremont Rider, an American Librarian from Westleyan University, in 1944. He predicted that the volume of American universities collection would reach 200 million copies in 2040. As a result, it brings to fore multiple issues such as big data users, storage capacity, and the need to have data analysts.  In Indonesia, data analysts is still a rare profession, and therefore urgently needed. One of its distinctive tasks  is to conduct visual analyses from various data resources and also to present the result visually as interesting knowledge. It becomes science enliven by interactive visualization. (Thomas and Cook, 2005). In response to the issue, librarians have already been equipped with basic information management. Yet, they can see the opportunity and improve themselves as data analysts. In developed countries, it is common that librarian are also regarded as data analysts. They enhance  themselves with various skills required, such as cloud computing and smart computing. In the end librarian with data analysts competency are eloquent to extract and present complex data resources as “interesting and discernible” knowledge. 


Keywords


big data, data analyst, librarian

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References


Emmelhainz, C. (2015). Data librarians in public Libraries. Retrieved from http://databrarians.org/author/celia/

Cox, M., & Ellsworth, D. (1997). Application controlled demand paging for out-of-core visualization. Retrieved from https://www.nas.nasa.gov/assets/pdf/techreports/1997/nas-97010.pdf#page=3&zoom=auto,-13,248

Lemieux, V. L., et.,al. (2014). Meeting big data challenges with visual analytics the role of records management. Records Management Journal, 24(2), 122-141. doi:10.1108/RMJ-01-2014-0009

Lien, D. A., et.,al. (2010). Literasi informasi 7 langkah knowledge management. Jakarta : Penerbit Universitas Atma Jaya Jakarta.

Putrawan, N. (2015). Relevansi big data dan ilmu perpustakaan: Sebuah pendekatan. Retrieved from https://www.linkedin.com/pulse/relevansi- big-data-dan-ilmu-perpustakaan-sebuah-baru-a-putrawan

Sugiarsono, J. (2015). SWA sembada Media Bisnis. XXXI, (05),32-46.

Vijjam, Wjaya. (2013) Map reduce: Besar dan powerful, tapi tidak ribet. Retrieved from http://vijjam.blogspot.com/2013/02/mapreduce-besar-dan- powerful-tapi-tidak.html


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