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Systematic Review of Methodologies in Data Science

机译:数据科学方法论的系统回顾

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In this paper, the problem of finding outstanding research works in the topic of methodologies of Data Science was addressed. Although there are survey-type publications on this science, these do not explicitly highlight the use of a state-of-the-art review methodology that would help in the construction of the survey. Within the present investigation, a systematic review was applied to identify the relevant publications concerning the methodological issue in Data Science. A total of 3,451 articles were reviewed by title using the search strings established in the systematic review. Likewise, this number of articles was filtered to select only those that met the inclusion and exception criteria. As a result of the application of these variables, only 24 articles out of the total were identified as relevant to the methodological issue of data science.
机译:本文讨论了在数据科学方法论领域寻找优秀研究成果的问题。尽管有关于这门科学的调查类出版物,但这些出版物并未明确强调使用最先进的审查方法,这将有助于调查的构建。在本次调查中,采用了系统性审查,以确定有关数据科学方法学问题的相关出版物。使用系统综述中建立的搜索字符串,共对3451篇文章进行了标题审查。同样,对这一数量的文章进行筛选,只选择那些符合纳入和例外标准的文章。由于应用了这些变量,总共只有24篇文章被确定与数据科学的方法论问题有关。

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