| 国际科研数据政策导向解析 |
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| 引用本文： | 秦顺,戴柏清.国际科研数据政策导向解析[J].图书情报工作,2022,66(13):48-60. |
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| 作者姓名： | 秦顺 戴柏清 |
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| 作者单位： | 1. 武汉大学信息管理学院 武汉 430072;2. 中国人民大学信息资源管理学院 北京 100872 |
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| 摘 要： | 目的/意义]剖析国际科研数据政策的导向及其特征,为我国完善科研数据政策保障体系、优化科研数据管理与共享工作提供重要依据。方法/过程]采用案例分析、文献调研方法归纳出国际科研数据政策的"整合DLC-SH"和"机器可操作"两种导向,并使用模本法分析、验证两种导向的异同。结果/结论]"整合DLC-SH"导向秉持科研数据管理与共享整体观,遵循"组织管理-业务流程"基本框架,目的在于构建全球协同式数据治理方略;"机器可操作"导向提供依次递进的指导性原则,重视数据基础设施的辅助作用,目的在于实现"数据互联网"全球布局。两种导向在理论基础、核心组件和服务对象上存在不同,但在基础环境、实现途径和最终目标上基本一致,且两种导向的相互融合成为现阶段的主流趋势。建议我国强化政策的导向功用,融入国际工作体系;重塑工作机制与流程,完善数据治理格局;"人文与技术"相结合,构建"人机协同"生态。
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| 关 键 词： | 科研数据政策 数据生命周期 利益相关者 机器可操作 FAIR原则 |
| 收稿时间： | 2021-11-21 |
| 修稿时间： | 2022-01-14 |
Analysis of International Research Data Policy Guidelines |
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| Qin Shun,Dai Baiqing.Analysis of International Research Data Policy Guidelines[J].Library and Information Service,2022,66(13):48-60. |
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| Authors: | Qin Shun Dai Baiqing |
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| Institution: | 1. School of Information Management, Wuhan University, Wuhan 430072;2. School of Information Resource Management, Renmin University of China, Beijing 100872 |
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| Abstract: | Purpose/Significance] Analyzing the orientation and characteristics of international research data policy can provide an important basis for improving research data policy guarantee system and optimizing research data management and sharing work in China. Method/Process] This article summarized the two orientations of international research data policy which named as "Integrated DLC-SH" and "Machine Actionable" by using the methods of case analysis and literature research, and analyzed and verified the similarities and differences between the two orientations by using the method of model sample. Result/Conclusion] It is found that the orientation of "Integrated DLC-SH" adheres to the overall view of research data management and sharing, follows the basic framework of "organization management - business process", and aims to build a global collaborative data governance general plan. The orientation of "Machine Actionable" provides some guiding principles of sequential progression, and attaches importance to the auxiliary role of the data infrastructure, which is in order to realize the global layout of "Internet of Data". The two orientations are different in theoretical basis, core components and service objects, but there are basically the same in basic environment, implementation approaches and final goals, and the integration of the two orientations has become the mainstream trend at this stage. The useful enlightenment to China is drawn up, including: strengthening the guiding function of policy and integrating into the international working system, reshaping the working mechanism and process and improving the data governance pattern, and "combining humanities with technology" to build a "man-machine cooperation" ecology. |
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| Keywords: | research data policy data life cycle stakeholder machine actionable FAIR principles |
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