摘要
互联网技术的迅速发展使得数据量呈爆发式增长,数据的快速增长在带来巨大价值的同时也带来了大量的劣质数据,提升数据质量成为了数据治理的核心内容。文章首先梳理了国内外数据治理研究概况,在此基础上提出了基于内部数据共享平台的数据质量稽核模型,并以及时性、准确性、完整性、一致性、唯一性作为模型评价标准评估了模型的有效性。
The rapid development of Internet technology has led to explosive growth of data volume.The rapid growth of data has brought great value,but also brought a large number of poor quality data.Improving data quality has become the core content of data governance.This paper first combs the research situation of data governance at home and abroad,and then proposes a data quality audit model based on the internal data sharing platform,and evaluates the effectiveness of the model as the evaluation criteria of timeliness,accuracy,integrity,consistency,and uniqueness.
作者
杨锦
YANG Jin(Network Business Department of China Mobile Communications Corporation,Beijing 100033,China)
出处
《数字通信世界》
2023年第3期167-169,共3页
Digital Communication World
关键词
数据治理
数据规范
数据质量
数据稽核
data governance
data specification
data quality
data auditing
