基于数据生命周期的高校图书馆数据监护的流程规范了数据管理具体活动。在配备数据监护服务基础设施和制度后,高校图书馆还面临着各类问题,如数据共享、协同化、元数据与模型、可控词表与分类和领域本体等。据此,文章将基于数据生命周期的数据监护流程划分为7个阶段:收集、评价、组织、处理、描述、访问、再利用数据。同时,流程管理的实施仍需解决文件格式、文档质量、元数据及数据治理的挑战。
The paper strives to standardize data management specific activities by university library data curation workflow based on data lifecycle.Being facilitated with basic conditions for developing the data curation service,university library still has the problems of data sharing,coevolution, metadata and schemas,controlled vocabularies and taxonomies,domain-specific ontology,etc.Therefore,the paper brings forward data curation workflow based on data lifecycle,dividing into seven stages as follows:receive,evaluate,organize,process,describe,access and reuse.Nevertheless,remaining barriers of workflow management exist as preservationfriendly file formats,documentation quality,metadata limitations and data governance concerns.