Research on the construction and operation path of enterprise-level high-quality datasets

doi:10.12267/j.issn.2096-5931.2026.05.002

Abstract

Abstract:

High-quality datasets have become a critical foundation for supporting the development of artificial intelligence and the intelligent transformation of industries. Based on this, the study first analyzes the concept and current development status of high-quality datasets. Secondly, it examines the construction requirements and core issues of different types of datasets. Thirdly, it investigates key stages and pathways in the process of building enterprise-level high-quality datasets, analyzing the construction approaches for high-quality datasets in the healthcare, energy, and industrial sectors. Finally, it explores future development trends of high-quality datasets.

Key words: high-quality datasets, AI, data engineering

CLC Number:

F49
TP308

BAI Yuzhen, YANG Jingshi, YUAN Bo, WANG Sijia, JIA Xuan, WANG Siyuan. Research on the construction and operation path of enterprise-level high-quality datasets[J]. Information and Communications Technology and Policy, 2026, 52(5): 10-15.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2026.05.002

http://ictp.caict.ac.cn/EN/Y2026/V52/I5/10

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