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.
关键词
科学数据重用/信息采纳模型/机器学习领域/平台类型/影响因素
Key words
Scientific data reuse/Information adoption model/Field of machine learning/Platform types/Influencing factors
维普
万方数据