数据生态视角下科研大数据治理成熟度模型构建与评估研究  

Research on Model Building and Evaluation of Governance Maturity of Scientific Research Big Data from the Perspective of Data Ecology

作　　者：韩春花[1] 许海云 孙杰[2] 佟泽华[2] 王雅洁 邢敬培 Han Chunhua;Xu Haiyun;Sun Jie;Tong Zehua;Wang Yajie;Xing Jingpei(Business School,Shandong University of Technology,Shandong Zibo 255012;School of Information Management,Shandong University of Technology,Shandong Zibo 255049)

机构地区：[1]山东理工大学管理学院,山东淄博255012 [2]山东理工大学信息管理学院,山东淄博255049

出　　处：《情报理论与实践》2025年第4期22-34,共13页Information Studies:Theory & Application

基　　金：山东省社会科学规划研究项目“元宇宙视角下科研大数据生态链运行机制与路径优化研究”(项目编号:24CTQJ05);国家自然科学基金面上项目“基于弱信号时效网络演化分析的变革性科技创新主题早期识别方法研究”(项目编号:72274113);山东省泰山学者工程(项目编号:tsqn202103069)的成果。

摘　　要：[目的/意义]科研大数据治理成熟度测度是科研大数据治理的核心内容之一,其评估理论与实践的缺乏是当前科研大数据的“割裂”“沉睡”“休眠”的症结之一。构建数据生态视角下科研大数据治理成熟度评估模型,以优化科研大数据治理成熟度评估方法。[方法/过程]基于数据生态理论的视角,构建科研大数据治理成熟度模型(MM-SRBDG),研建由8个核心域、29个能力域、101个过程域构成的科研大数据治理成熟度指标体系,构建“专家打分法(E)—木桶原理法(C)—AHP法”相结合的综合评估方法(E-C-A综合评估法),并结合实际案例进行综合评估和系统性分析。[结果/结论]MM-SRBDG系统化地阐释了科研大数据治理成熟度的构成维度,形成了科研大数据治理成熟度研究的系统性治理的新视角与新范式。MM-SRBDG的治理成熟度指标体系具有系统性和纵深性,构建的针对不同维度差异性评价的成熟度综合评估方法,可为科研大数据治理成熟度评估提供理论依据和实践参考,助力科研大数据治理水平提升。[Purpose/significance]Assessing the maturity of scientific research big data governance is crucial,yet the lack of evaluation theory and practice exacerbates issues such as fragmentation,dormancy,and hibernation within this field.This paper endeavors to construct a maturity assessment model for scientific research big data governance through a data ecology perspective and refine the evaluation method.[Method/process]By leveraging data ecology theory,a data model is proposed,leading to the development of the(maturity model of scientific research big data governance based on data ecology,MM-SRBDG).The MM-SRBDG model comprises 8 core domains,29 capability domains,and 101 process domains,alongside an indicator system.Additionally,a comprehensive evaluation method,E-C-A,is formulated,followed by practical case-based assessment and systematic analysis.[Result/conclusion]The MM-SRBDG model systematically delineates the constituent dimensions of scientific research big data governance maturity,offering a new perspective for systematic governance in this domain.The constructed indicator system and evaluation matrix exhibit systematic and in-depth characteristics.The E-C-A method,tailored to diverse dimensions,furnishes both theoretical grounding and practical guidance for assessing scientific research big data governance maturity,thereby enhancing governance standards.

关 键 词：科研大数据治理 成熟度评估 指标体系 数据生态 E-C-A综合评估法 

分 类 号：G64[文化科学—高等教育学]