面向开放科学的科学数据治理:概念、框架与展望

Scientific Data Governance Towards Open Science:Concept,Framework and Outlook

【目的/意义】开放科学环境下,明晰科学数据治理概念框架有助于指导和完善治理实践,提升治理水平,优化数据要素配置,深入挖掘数据价值,服务于数据密集型科研发展。【方法/过程】本文采用系统性文献综述法与内容分析法,全面获取科学数据治理与开放科学交叉领域文献,构建文献分析框架并进行编码,分析编码结果,据此辨析科学数据治理及相关概念,构建治理概念框架,并提出研究建议。【结果/结论】研究发现科学数据治理与管理概念在界定内涵、实践层次等方面不同,在数据服务属性、目标原则、发展环境上相同。从顶层设计、实施规划与实践应用三维度构建科学数据治理概念框架,阐释各维度具体内容及与开放科学间的相互影响,并提出强化指导性、提升适用性与实现包容性三方面研究展望。【创新/局限】利用系统性文献综述与内容分析法全面系统梳理研究进展,区分与辨析易混淆的科学数据治理与管理概念,并从多维度阐释科学数据治理概念、应用范围与研究重点。

【Purpose/significance】In the open science environment,clarifying the conceptual framework of scientific data governance can help guide and improve governance practices,enhance the level of governance,optimize the allocation of data elements,deepen the value of data,and serve the development of data-intensive scientific research.【Method/process】This paper uses a systematic literature review approach and content analysis to comprehensively access the literature at the intersection of scientific data governance and open science,construct a framework for literature analysis and coding,analyze the results,identify scientific data governance and related concepts accordingly,construct a conceptual framework for governance,and make research recommendations.【Result/conclusion】This research finds that the concepts of scientific data governance and management are different in terms of definition and practice levels,but the same in terms of data service attributes,objectives and principles,and environmental trends.The study constructs a conceptual framework for scientific data governance from three dimensions:top-level design,implementation planning and practical application,explains the specific content of each dimension and the interaction with open science,and proposes three research perspectives:strengthening guidance,enhancing applicability and achieving inclusiveness.【Innovation/limitation】A systematic literature review and content analysis are used to comprehensively and systematically review the research progress,distinguish and identify the confusing concepts of scientific data governance and management,and explain the concept,application scope and research focus of scientific data governance from multiple dimensions.