摘要
随着铁路的高速发展,铁路行业积累了大量的结构化和非结构化数据并进入了大数据时代。在利用大数据技术全面提升铁路企业核心竞争力及推动铁路转型升级的愿景下,如何开展铁路大数据治理是当务之急。介绍了铁路大数据的基本现状,阐述了数据治理的基本概念和研究现状,提出了铁路大数据治理的总体框架和迭代流程。明确了大数据治理工作不仅是技术上的治理工作,更是包含了人员组织、管理制度、数据架构、应用推动四位一体的均衡的信息化架构的关键一环。该研究对于铁路大数据治理的规划设计、落地实施等具有一定的借鉴意义。
With the rapid development of railway,the railway industry has accumulated a large number of structured and unstructured data and entered the era of big data.Under the vision of using big data technology to comprehensively enhance the core competitiveness of railway enterprises and promote railway transformation and upgrading,how to carry out railway big data governance is a top priority.This paper introduces the basic status of railway big data,expounds the basic concepts and research status of data governance,and puts forward the overall framework and iterative process of railway big data governance.It makes clear that big data governance is not only a technical governance work,but also a key part of a balanced information architecture that includes personnel organization,management system,data architecture and application promotion.It has certain reference significance for the planning,design and implementation of railway big data governance.
作者
王喆
Wang Zhe(Institute of Computing Technologies,China Academic of Railway Science Corporation Limited,Beijing 100081,China)
出处
《网络安全与数据治理》
2022年第11期30-35,共6页
CYBER SECURITY AND DATA GOVERNANCE
基金
中国国家铁路集团有限公司科技研究开发计划课题(K2021S001)。
关键词
数据治理
大数据
铁路行业
数据标准
data governance
big data
railway industry
data standards
