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科研数据治理的总体思路及实践案例验证——以全国一体化算力网络国家(贵州)枢纽节点的天文数据治理为例 被引量:2

The General Idea of Scientific Data Governance and Practical Case Verification——Taking the Astronomical Data Governance of the National(Guizhou)Hub Node of the Nationwide Integrated Computing Power Network as an Example
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摘要 科研数据治理是促进科学技术进步、释放科研数据价值的重要途径,天文数据作为科研数据的重要组成部分,对于巩固我国在天文研究领域的国际优势,实现数据高效安全治理,具有重要意义。本文采用理论推演与案例映射的研究方法,在充分借鉴数据治理成熟模式的基础上,以协同创新理论和公共价值理论为基础,研究了“主体、客体、载体”及“问题导向、目标导向”的“三体两向”分析模型在科研数据治理领域的适用性,并依据该模型对“中国天眼”天文数据治理案例进行了映射研究。为科研数据治理提供了“指导理论-分析方法-案例映射”的从理论到实践的研究方法,为探索形成系统性的天文数据治理提供了有益支撑。 Scientific data governance is an important way to promote scientific and technological progress and release the value of scientific data.As an important part of scientific data,astronomical data is of great significance for consolidating our country's international advantages in the field of astronomical research and achieving efficient and safe data governance.This paper adopts the theoretical deduction and case mapping as research methods.On the basis of fully learning from the mature model of data governance,based on collaborative innovation theory and public value theory,it studies“subject-object-carrier”and“problem and target oriented”in the“three bodies and two directions”analytical model of in the field of scientific data governance.Based on this model,a mapping study was carried out on the“FAST”astronomical data governance.It provides a research method from theory to practice of“guiding theory-analysis method-case mapping”for scientific data governance,and provides useful support for the exploration and formation of systematic astronomical data governance.
作者 马骁 郭明军 易成岐 窦悦 梁楚夷 Ma Xiao;Guo Mingjun;Yi Chengqi;Dou Yue;Liang Chuyi(Department of Big Data Development,State Information Center,Beijing,100045;Department of Engineeing Management Greater Bay Area Big Data Research Institute,Shenzhen,518045)
出处 《信息资源管理学报》 CSSCI 2023年第5期126-136,共11页 Journal of Information Resources Management
关键词 科研数据 天文数据 协同创新 公共价值 数据治理 Scientific data Astronomical data Collaborative innovation Public value Data governance
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