大数据时代行业档案数据管理研究——以铁路档案数据为例

Research on Industry Archives Data Management in the Big Data Era:Taking Railway Archives Data as an Example

大数据时代给铁路档案数据管理带来了新的挑战和机遇。本研究围绕大数据背景下的铁路档案数据管理,深入分析了铁路档案数据管理的现状,探讨了铁路档案管理在数字化转型、数据安全、数据治理等方面面临的问题和挑战,重点提出了通过建立数据中心平台收集边缘数据的创新策略,以提升档案数据质量。该策略不仅优化了数据管理流程,增强了数据的可访问性和可用性,也确保了信息的完整性和准确性。此外,本研究还讨论了大数据技术在铁路档案管理中的应用现状及其对铁路档案管理转型的影响,提出了提高铁路档案数据质量的方法和策略。本研究旨在为提升铁路档案管理效率和效果、推动铁路行业的数字化转型和智能化升级提供有力支撑,促进铁路行业的高质量发展。

The big data era has introduced new challenges and opportunities for railway archives data management.This study focuses on railway archives data management within the context of big data,thoroughly analyzes the current state of railway archives data management and discusses the issues and challenges faced by railway archives management in digital transformation,data security,and data governance.It highlights an innovative strategy of establishing a data central platform for collecting edge data to enhance the quality of archives data.This strategy not only optimizes the data management process,improves data accessibility and usability,but also ensures the integrity and accuracy of information.Moreover,the study explores the current application of big data technology in railway archives management and its impact on the transformation of archives management,and proposes methods and strategies to enhance the quality of railway archives data.This research aims to provide strong support for improving the efficiency and effectiveness of railway archives management,promoting the digital and intelligent upgrade of railway industry,and fostering the high-quality development of railway industry.