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BibTex Citation Data :
@article{JOIV17,
author = {Hamideh Iraj and Babak Sohrabi},
title = {Data Scientists’ Skills in Detecting Archetypes in Iran},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {1},
number = {2},
year = {2017},
keywords = {Data science; Data scientists; Archetypes; skills},
abstract = {The use of data-driven decision making and data scientists is on the rise in Iran as companies have rapidly been focusing on gathering data and analyzing it to guide corporate decisions. In order to facilitate the process and understand the nature and characteristics of this transformation, the current study intends to learn about data scientists’ skills and archetypes in Iran. Detecting skills archetypes has been done via analyzing the skills of data scientists which were self-expressed through an online survey. The results revealed that there are three archetypes of data scientists including high level data scientists, low level data scientists and software developers. The archetypal patterns are based on levels of data scientists’ skills rather than the type of dominant skills they possess which was the most frequent pattern in previous studies.},
issn = {2549-9904}, pages = {27--32}, doi = {10.30630/joiv.1.2.17},
url = {https://joiv.org/index.php/joiv/article/view/17}
}
Refworks Citation Data :
@article{{JOIV}{17}, author = {Iraj, H., Sohrabi, B.}, title = {Data Scientists’ Skills in Detecting Archetypes in Iran}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {1}, number = {2}, year = {2017}, doi = {10.30630/joiv.1.2.17}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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