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2021 , Vol. 65 >Issue 10: 141 - 150

DOI: https://doi.org/10.13266/j.issn.0252-3116.2021.10.014

Smart Data Research:Concept Discrimination, Value Orientation, Key Technologies and Application Framework

  • Zhang Yunzhong ,
  • Liu Jialin
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  • Department of Library, Information and Archives, Shanghai University, Shanghai 200444

Received date: 2020-12-25

  Revised date: 2021-02-08

  Online published: 2021-06-02

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Abstract

[Purpose/significance] The Smart Data is a new concept in the field of data science under the development of "Smart Earth", which theoretical exploration and practical application are developing rapidly. Combing the cognitive veins of the academic circles, gathering consensus and analyzing differences is of great significance to clarify the theoretical system of smart data and promote the application and development of smart data. [Method/process] Based on extensive and in-depth reading of relevant literature in domestic and foreign fields, this study divided Smart Data into four aspects:conceptual connotation, value orientation, key technologies and application framework. Overall, this study summarized three conceptual perspectives, five connotation features, five types of value orientation, three clusters of key technologies and five application areas of smart data through comparison and analysis. [Result/conclusion] The study found that the essence of smart data lies in its canonical structure and value-added process. Smart data comes from data evolution or structural design, and this enriches its value orientation, making itself presents diversified composite value characteristics. Its technical system support the step-by-step "computable-understandable-conversational" data evolution, the core of its application framework lies in the precise realization of "data" and "user" intelligent interaction. In the future, the theoretical system of smart data still needs to be improved under the view of big "data science", centering on theoretical system construction, data rights governance, balanced development of technology, upgrading service levels, integrating theory and practice,etc.

Key words： smart data; data science; value; key technology; application; review

Cite this article

Zhang Yunzhong , Liu Jialin . Smart Data Research:Concept Discrimination, Value Orientation, Key Technologies and Application Framework[J]. Library and Information Service, 2021 , 65(10) : 141 -150 . DOI: 10.13266/j.issn.0252-3116.2021.10.014

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