高校数据资产编目研究  

Research on data asset cataloging of colleges and universities

作　　者：刘豆豆 焦宝臣[1] LIU Doudou;JIAO Baochen(Big Data Management Center,Nankai University,Tianjin 300071,China)

机构地区：[1]南开大学大数据管理中心,天津300071

出　　处：《大数据》2023年第3期71-84,共14页Big Data Research

基　　金：2022年度高等教育科学研究规划课题(No.22XX0102);2021年中国高校产学研创新基金(No.2021KSA01001);河北省重点研发计划项目(No.22370701D)。

摘　　要：在网络、数据安全愈发重要的数字经济时代,在尚缺乏科学合理的适用于高校的数据资产编目模型的现状下,分析了高校数据资产编目的功能和作用,提出了以数据应用为切入点、以数据服务为目标的高校数据资产编目模型。该模型由相辅相成、互为支撑的数据资产目录建设、数据安全、数据服务三部分构成。基于模型总结了高校数据资产编目五步骤工作框架,包括数据盘点、数据分类、数据分级、数据标签、数据开放。以南开大学为例,依据构建的模型和工作框架具体实施数据资产编目工作,取得了较好的应用效果。这表明提出的模型和工作框架具有较强的可操作性,能够为各高校开展数据资产编目提供科学可行的技术路线和方法指导。In the era of digital economy in which network and data security are becoming more and more important,there is still no scientific and reasonable data asset cataloging model applicable to colleges and universities.The function of data asset cataloging in colleges and universities was analyzed,and the data asset cataloging model with data application as the breakthrough point and data service as the purpose was put forward.The model was composed of three parts:data asset catalog construction,data security and data service that complement and support each other.The five-step framework of data asset cataloging was summarized:data inventory,data classification,data staging,data labeling,data opening.Nankai University implemented data asset cataloging according to the model and working framework,and obtained good application results.The results show that the model and working framework are operational and can provide scientific and feasible technical route and method guidance for colleges and universities to carry out data asset cataloging.

关 键 词：数据资产编目 数据分类分级 数据标签 数据安全 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术] G647[自动化与计算机技术—计算机科学与技术]