摘要
[目的/意义]数据治理是数据科学时代关注的研究课题,对数据治理的概念、体系、内容和应用的相关研究进行述评,以期将数据治理研究引向深入。[方法/过程]采用文献调研法,对国内外文献进行系统脉络梳理和整体内容述评。[结果/结论]目前研究主要集中在"框架模型的设计""价值的探讨"和"不同领域的应用"等,现有研究存在"实证研究较少""数据治理框架模型的设计欠缺优化"等问题,"框架体系""政策标准""成熟度模型""数据质量"等仍是未来研究应关注的重点领域,海量异质数据的治理是未来最值得关注的新兴研究领域。
[ Purpose/Significance ] Data governance is a research topic under the data science, and reviewing the research on the concept, system,content and application of data governance will help deepen the research. [ Method/Process] Literature review method is used to systematically present the historical thread of the domestic and foreign literatures and the overall content. [ Result/Conclusion] At present, research on data governance mainly focuses on ＂the design of framework model＂ ＂the exploration of value＂ and ＂the application in differ- ent fields＂ ; there are problems of few empirical studies in the field of data governance, the lack of optimization of data governance frame- work model and so on ,＂ the framework of the system＂ ＂the policy standards the maturity model＂ and ＂the data quality＂ are still the fo- cus areas for future research,and the governance of massive heterogeneous data is the most promising emerging research field in the future.
出处
《情报杂志》
CSSCI
北大核心
2017年第5期129-134,163,共7页
Journal of Intelligence
基金
商务部国际贸易经济合作研究院联合基金"大数据环境下的农业数据资产管理研究"(编号:2016SWBZD17)研究成果之一
贵州省教育厅青年科技人才成长项目"面向数据资产管理的数据质量评价关键技术研究"(编号:黔教合KY字[2016]181)研究成果之一
关键词
数据治理
数据质量
数据科学
data governance
data quality
data science
