数据科学的演进:一种新的知识生产模式

J. Priestley, Robert J. McGrath
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引用次数: 7

摘要

数据科学是一个新的研究领域,还是仅仅是一门已经存在的学科的延伸或专业化,比如统计学、计算机科学或数学?本文探讨了数据科学作为一门潜在的新学科的演变,它是作为新问题集的功能而发展起来的,而这些新问题集是现有学科准备不足的。作者发现,这门新发展的学科可以通过一种新的知识生产模式来看待,其特点是与私营部门的跨学科合作,并增加了问责制。这种演变的经验教训可以为其他传统学科的知识生产提供指导,也可以为应对大数据新挑战的现有知识管理实践提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Evolution of Data Science: A New Mode of Knowledge Production
Is data science a new field of study or simply an extension or specialization of a discipline that already exists, such as statistics, computer science, or mathematics? This article explores the evolution of data science as a potentially new academic discipline, which has evolved as a function of new problem sets that established disciplines have been ill-prepared to address. The authors find that this newly-evolved discipline can be viewed through the lens of a new mode of knowledge production and is characterized by transdisciplinarity collaboration with the private sector and increased accountability. Lessons from this evolution can inform knowledge production in other traditional academic disciplines as well as inform established knowledge management practices grappling with the emerging challenges of Big Data.
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