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资源环境领域科学数据分类应用探讨
投稿时间:2017-07-14    点此下载全文
引用本文:王宏智 杨雅萍.资源环境领域科学数据分类应用探讨[J].中国科技资源导刊,2018,(1):85~91
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作者单位
王宏智 杨雅萍 中国科学院地理科学与资源研究所北京 100101 
基金项目:国家科技基础性工作专项项目“科技基础性工作专项重点项目”(2013FY110900)。
中文摘要:为加快科技发展,提高自主创新能力,国家设置了许多科技专项,产生了丰富的科学数据资源,但目前缺 乏有效的数据资源分类体系与数据管理方式,无法满足用户多维度数据查找的需求,限制了科学数据的集成共享。为 实现数据管理方式的科学性,提高数据管理效率,基于大量的资源环境领域科学数据,采用学科分类与数据本身属性 结合的方式将资源环境科学数据进行分类,构建分类体系。具体分为14个一级类,67个二级类,在此基础上采用关键 词解析法,再对关键词整合拓展后具体划分为435个三级类。建立的一级和二级分类体系可以使科学数据得到更为科学 有效的数据管理,三级分类可为数据集成建库等提供支撑,目前已应用于基础性工作专项资源环境领域数据管理中。
中文关键词:资源环境  科学数据  分类体系  关键词解析法
 
Discussion on Scientific Data Classification Application in Resources and Its Environment Field
Abstract:Chinese government has set up plenty of science and technology special projects to improve scientific and technological development and independent innovation capability, at the same time, abundant scientific resources have been produced. By far, scientific and valid scientific data classification system and management methodology hasn’t been formed which can’t satisfy users’ multi-dimension data search demand, the integration and sharing of the scientific data has been seriously hindered by this phenomenon. This paper uses the methodology which combines subject classification and data properties to divide the resource and environment scientific data into 14 subcategories, 67 first classes to realize the rationality and efficiency in scientific data management. Key words analysis methodology is used based on the 14 subcategories and 435second classes that are divided by integration and expansion of the key words. Subcategories and first classes can make scientific data management more efficiently, while second classes can provide support to database establishment and data integration, the tertiary classification system has been applied in the resource and environment scientific data management of basic specific project.
keywords:resource’s environment, scientific data, classification system, key word analysis methodology
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