大数据时代开放大学数据服务体系构建研究  

Research on the Construction of Data Service Architecture of Open University in the Era of Big Data

作　　者：崔行臣[1] 

机构地区：[1]山东广播电视大学信息技术中心,山东济南250014

出　　处：《软件导刊》2018年第1期188-191,共4页Software Guide

基　　金：山东广播电视大学"开放大学建设"2016年度专项课题(2016KFDX11Y);山东广播电视大学"开放大学建设"2017年度专项课题(2017KD03WT)

摘　　要：从海量的数据中获取有价值的知识,已是一种普遍性的需求。开放大学在多年的数字化校园建设实践中,积累了很多宝贵数据。为了深度挖掘教育大数据的价值,构建高校数据从产生到利用的共享服务体系,为智慧校园建设提供支撑,从数据基础设施层、数据集成层、管理维护层、应用服务层四个层次构建开放大学数据服务架构。建立以数据标准、管理制度为保障,数据服务架构为核心,"个人—部门—学校"为服务主体的层级数据服务体系,形成从业务产生数据到数据反哺服务的良性循环。实践证明,将该数据服务体系架构应用于高校的智慧校园建设中,可为智慧校园的师生提供个性化服务,并为学校的决策支持提供强大的数据支撑。It is a universal requirement to obtain valuable knowledge from massive data. The Open University has accumulated a lot of valuable data in the practice of the construction of digital campus for many years. In order to dig out the value of big data in education, construct a data sharing service system from generationto use, to provide support for the construction of smart campus architecture, the open university data service architecture is constructed at 4 levels： data infrastructure layer, data integration layer, management layer and application service layer. Establishing data standard and management system as the guarantee, data service architecture as the core, ＂individual-department-school＂ as the main body of service, a hierarchical data serw ice system for data analysis services is set up to form a virtuous cycle from business generating data to data feeding services. Practice has proved that the application of data service architecture in the construction of intelligent campus in universities can provide personalized services for teachers and students in smart campus, and provide strong data support for school decision support.

关 键 词：大数据 数字化校园 数据集成 智慧校园 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]