Research on the Influencing Factors of Scientific Data Reuse in the Field of Machine Learning Based on Information Adoption Model

Libraly Journal ›› 2024, Vol. 43 ›› Issue (402): 5-15.

Research on the Influencing Factors of Scientific Data Reuse in the Field of Machine Learning Based on Information Adoption Model

Yu Haiyan, Jiang Shenyu, Zhu Weiqi (School of Economics and Management, East China Normal University)

Online:2024-10-15 Published:2024-10-28
About author:Yu Haiyan, Jiang Shenyu, Zhu Weiqi (School of Economics and Management, East China Normal University)

Abstract

Abstract: Based on the Information Adoption Model, this paper constructs a model of factors influencing scientific data reuse in the field of machine learning. We select two types of scientific data platforms—open science community platforms and scientific data sharing platforms—to collect data. Then we empirically examine the impact of dataset content quality and data source credibility on scientific data reuse, as well as the moderating effect of platform types on the relationship between data source credibility and scientific data reuse. This paper is of great significance for improving the construction of scientific data platforms and promoting the reuse of scientific data.

Yu Haiyan, Jiang Shenyu, Zhu Weiqi (School of Economics and Management, East China Normal University). Research on the Influencing Factors of Scientific Data Reuse in the Field of Machine Learning Based on Information Adoption Model[J]. Libraly Journal, 2024, 43(402): 5-15.

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