数据管理的研究进展与热点:战略、角色与应用

Research Progress and Hotspots of Data Management:Strategy,Role and Application

随着大数据时代的发展,数据管理问题已经引起了学者关注。本文以iConference 2017会议中与"数据管理"主题相关的22篇文章为研究对象,并结合近年来国内外相关研究文献与实践进展,从数据管理的战略导向、角色差异与应用趋势展开介绍,揭示数据管理领域近年来的研究进展与动向。数据管理已上升至治国战略,其中主权安全与开放共享是重中之重;政府、企业、高校与科研机构在数据管理上存在角色差异,分别侧重政务公开与归档、知识协同与共享、数据收集与知识库建设;数据管理的应用趋势体现在资源融合与集成管理、决策支持与事件预测、知识发现与个性推荐三方面,涉及云计算技术及感知风险、临床决策支持、疫情态势预测、知识共享与个性推荐系统等课题。

With the development of big data era, issues about data management have aroused the concern of scholars. This paper takes 22 papers related to the topic of ＂data management＂ in iConference 2017 as the research object, combining with relevant research literature and practice at home and abroad in recent years, and introduces strategy orientation, role differences and the application trend of data management, so as to reveal the research progress and tendency of data management. Data management has risen to the governing strategy, among which sovereign security and open-share are the most important. The government, enterprises, universities and research institutions have differences in data management, respectively focusing on government affairs and archiving, knowledge collaboration and sharing, data collection and knowledge base construction. The application of data management is reflected in resource integration and integration management, decision support and event prediction, knowledge discovery and personality recommendation. It involves cloud computing technology and perceived risk, clinical decision support, epidemic situation prediction, knowledge sharing and personality recommendation system and other issues.