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作 者:都平平[1] 李雨珂[2] 张雪媛[1] Du Pingping;Li Yuke;Zhang Xueyuan(Library of China University of Mining and Technology;Department of Cultural Management,Shanghai Publishing and Printing College)
机构地区:[1]中国矿业大学图书馆,江苏徐州221116 [2]上海出版印刷高等专科学校文化管理系,上海200093
出 处:《图书馆杂志》2022年第4期96-105,114,共11页Library Journal
基 金:国家社会科学基金项目“机构知识资源领域研究数据的关联组织和开放复用研究”(项目编号:19BTQ073)研究成果之一。
摘 要:从概念域视角研究数据范畴及数据域边界,明确其多维度的类型和属性划分,为分类规范数据管理,明确不同属性数据保障策略,具体实施《科学数据管理办法》服务。文章从相关文献中析出若干关于数据和科学数据的相关概念、定义表述,按照其产生过程、发布形态、功能作用、学科属性、责任与权益归属等特征进行了梳理和解读,形成数据域概念视角的数据类型和数据集属性边界。对照《科学数据管理办法》中的相关条文,具体提出不同类别不同属性的数据域边界及管理细则,为《科学数据管理办法》的全面实施提供细化策略。尤其是自然科学和社会科学数据的边界界定,有利于科学数据的登记、汇集、管理和实施,也有利用不同属性数据域权限归属的合理复用与共享。The paper studies the data category and data domain boundary from the perspective of concept domain,clarifies its multi-dimensional types and attributes,and helps to classify and standardize data management,as well as clarifying the data guarantee strategies of different attributes,and specifically implementing the Measures for Scientific Data Management.Some related concepts,definitions and expressions about data and scientific data are extracted from relevant literature,sorted and interpreted according to their production process,release form,function,discipline attribute,responsibility and equity ownership,so as to form the data type and dataset attribute boundary from the perspective of data domain concept.According to the relevant provisions in the Measures for Scientific Data Management,specific data domain boundaries and management rules of different categories and attributes are put forward to provide detailed strategies for the full implementation of the Measures for Scientific Data Management.In particular,the“boundary”definition in natural science data and social science data is conducive to the collection,management and implementation of scientific research data,and also to the rational reuse and sharing of the ownership of data fields with different attributes.
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