数据重用影响因素对仓储型数据管理平台发展方向的启示

doi:10.19788/j.issn.2096-6369.230302

Abstract

Abstract:

As a powerful tool and knowledge foundation for scientific research, scientific data have attracted the attention of researchers throughout its entire process of data behavior. Data reuse, as a key component, is of great significance for the development of scientific data management and sharing. Taking the Agricultural Environment Data Sharing Service Platform, developed by the Institute of Agricultural Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, as the starting point, the article introduces relevant research on data reuse and the evolution of the definition of scientific data reuse in terms of time dimension. From the perspective of the impact framework of data reuse, it analyzes the impact of researchers, scientific data, and data platforms on data reuse. Moreover, the article explores the popular and widely-used warehouse-based data management platform models, and proposes the next development inspiration, regarding to the current situation and problems of agricultural data sharing service platforms.

Key words: data reuse, influencing factors, warehouse type, data sharing

SUN YuXiao, LI YanLi, LI Feng, LI Bin. The Enlightenment of Factors Influencing Data Reuse on the Development Direction of Warehouse-Based Data Management Platforms[J].Journal of Agricultural Big Data, 2023, 5(3): 2-10.

Figures/Tables 7

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References 18

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平台系统	学科领域因素	年龄因素	数据质量和可靠性	元数据	数据易获得性
Figshare科研数据共享平台	√	√	√	√	√
Dryad数据库系统	√	√	√	√	√
ScienceDB	√	√	√	√	√

The Enlightenment of Factors Influencing Data Reuse on the Development Direction of Warehouse-Based Data Management Platforms

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