To construct the Agricultural Scientific and Technical Information Core Metadata （ASTICM） standard and its expanding principles, and to develop a register system based on ASTICM, the policy and methods of DC （Dubli...To construct the Agricultural Scientific and Technical Information Core Metadata （ASTICM） standard and its expanding principles, and to develop a register system based on ASTICM, the policy and methods of DC （Dublin Core） and SDBCM （Scientific Database Core Metadata） were studied. The construction of ASTICM has started from the proposed elements of the DCMI （Dublin Core Metadata Initiative）, and has expanded the DC and SDBCM with related expanding principles. ASTICM finally includes 75 metadata elements, five expanded principles, and seven application profile creation methods. According to the requirement analysis of a large number of users of agricultural information, a register system based on ASTICM was developed. The ASTICM standard framework and its register system supported the search, sharing, integration exchange and other applications, effectively.展开更多
调查和分析元数据标准在健康科学数据中的应用现状,有助于为我国健康科学数据描述中元数据标准的选择、健康科学数据平台的建设提供参考。通过网络调研法对科学数据仓储注册系统(registry of research data repositories,re3data)中的...调查和分析元数据标准在健康科学数据中的应用现状,有助于为我国健康科学数据描述中元数据标准的选择、健康科学数据平台的建设提供参考。通过网络调研法对科学数据仓储注册系统(registry of research data repositories,re3data)中的健康科学数据管理平台进行调研,梳理所应用的元数据标准,分析典型元数据标准在平台中的应用情况,并归纳其在健康科学数据描述中的适用性。re3data中各健康科学数据平台共使用14种元数据标准,其中DC、DataCite、DDI、仓储自建元数据标准的使用最为广泛,多数平台组合使用多种元数据标准。各类元数据标准可分为通用型、社会科学型、自建型3类,分别适用于描述健康科学数据通用属性、社会科学研究产生的健康科学数据、特色和专业性强及政府开放的健康科学数据。展开更多
文摘To construct the Agricultural Scientific and Technical Information Core Metadata （ASTICM） standard and its expanding principles, and to develop a register system based on ASTICM, the policy and methods of DC （Dublin Core） and SDBCM （Scientific Database Core Metadata） were studied. The construction of ASTICM has started from the proposed elements of the DCMI （Dublin Core Metadata Initiative）, and has expanded the DC and SDBCM with related expanding principles. ASTICM finally includes 75 metadata elements, five expanded principles, and seven application profile creation methods. According to the requirement analysis of a large number of users of agricultural information, a register system based on ASTICM was developed. The ASTICM standard framework and its register system supported the search, sharing, integration exchange and other applications, effectively.
文摘调查和分析元数据标准在健康科学数据中的应用现状,有助于为我国健康科学数据描述中元数据标准的选择、健康科学数据平台的建设提供参考。通过网络调研法对科学数据仓储注册系统(registry of research data repositories,re3data)中的健康科学数据管理平台进行调研,梳理所应用的元数据标准,分析典型元数据标准在平台中的应用情况,并归纳其在健康科学数据描述中的适用性。re3data中各健康科学数据平台共使用14种元数据标准,其中DC、DataCite、DDI、仓储自建元数据标准的使用最为广泛,多数平台组合使用多种元数据标准。各类元数据标准可分为通用型、社会科学型、自建型3类,分别适用于描述健康科学数据通用属性、社会科学研究产生的健康科学数据、特色和专业性强及政府开放的健康科学数据。
