[目的/意义]数据驱动的科学研究第四范式凸显了科学数据监管(data curation)的重要性。科学数据监管是一项技术与管理相结合的持续改善过程,亟需系统的知识体系来规划、指导具体的管理工作。[方法/过程]在分析科学数据及其监管要素的基础上,对国际数据管理协会划分的数据管理体系进行归类和精简,从管理的视角提出包括4个核心职能、4个辅助职能和1个综合管理职能的科学数据监管体系的概念模型,并详细解析每个管理职能模块的功能结构以及输入、输出和主要管理活动。[结果/结论]与其他监管体系相比较,本文所提出的数据监管体系针对性较强,重点突出并充分体现技术与管理相结合的特点,结构化的描述方法使科学数据监管的思想方法和工作步骤更加条理化、系统化、图像化和科学化。这一监管体系构架可为我国科研机构、图书馆及企业有效进行数据监管提供参考。
[Purpose/significance]The forth paradigm of data-driven scientific research highlights the importance of scientific data curation.Scientific data curation is a continuing improvement process with a combination of technologies and management skills.It needs a systemic knowledge system to guide specific practices of data planning and management.[Method/process]Based on the analysis of scientific data and related curation factors, this paper classifies and streams the data management system created by the international data management association.A conceptual model of scientific data curation system is provided from the management perspective, which includes 4 core management functions, 4 auxiliary management functions and a comprehensive management function.Then the function structure with its input, output and main management activities of each management module are discussed in details.[Result/conclusion]Comparing with other curation systems, it has features of clear target, and highlights and embodies the characteristics combination of technology and management fully.The structural description method makes it more orderly, systematic, graphical and scientific for the way of thinking and working steps of scientific data curation.The result will provide a theoretical reference for scientific research institutions, libraries and enterprises to implement data curation.
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