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作 者:陈丽 王启现[3] 刘娟 崔运鹏[1,2] 王末 Chen Li;Wang Qixian;Liu Juan;Cui Yunpeng;Wang Mo(Agricultural Information Institute,Chinese Academy of Agricultural Sciences,Beijing 100081,China;Key Laboratory of Big Agri-data,Ministry of Agriculture and Rural Areas,Beijing 100081,China;Bureau of Achievement Transformation,Chinese Academy of Agricultural Sciences,Beijing 100081,China)
机构地区:[1]中国农业科学院农业信息研究所,北京100081 [2]农业农村部农业大数据重点实验室,北京100081 [3]中国农业科学院成果转化局,北京100081
出 处:《农业工程学报》2020年第4期193-201,共9页Transactions of the Chinese Society of Agricultural Engineering
基 金:中国农业科学院基本科研业务费专项(Y2019PT27)。
摘 要:农业科学数据作为重要战略性资源,在推动农业科技创新、增强农业科技竞争力方面发挥重要作用。农业科研试验基地是一手科研数据的主要来源,其数据管理标准体系的建立不仅是试验基地数据规范化管理的基础,也是规范化数据管理工作的重要一环,对于提高数据可复用性,最大程度发挥数据价值有重要意义。该研究通过国内外涉农长期观测网络、试验站数据管理标准体系内容梳理,以及对中国农业科研试验基地数据特点、数据全生命周期管理流程调研,构建了农业科研试验基地数据管理统一工作流;基于“霍尔三维结构”从标准适用数据管理阶段、标准性质、标准专业领域3个维度构建农业科研试验基地数据管理标准体系框架,并编制了农业科研试验基地数据管理标准体系基本构成表,梳理出涵盖数据全生命周期管理的标准20项,首期必建标准12项,以期为推进农业科研试验基地建设和数据管理共享提供支撑。Agricultural science data is an important strategic resource.As first-hand scientific research data producers,agricultural scientific research and experiment station gathers massive scientific research data of different types which are in a loosely managed state.So,the establishment of its data management standard system is not only a basis for standardized data management but also an important part of standardized data management work.And it is of great significance for improving data reusability and fully developing data value.In this research,by investigating the data characteristics and the whole life cycle management process of the agricultural scientific research and experiment station in China,we found that the data had four characteristics:1)multi-source and isomerism;2)Small data centralized management,big data decentralized management;3)short time duration and poor continuity of data;4)low data standardization and insufficient data sharing.And based on the problem of“small data centralized management,big data decentralized management”,we explored the workflow for routine data management in agricultural scientific research and experiment station,then designed a unified workflow.Under the fragmented data management workflow,it was usually a lack of professional and unified standard system in agricultural scientific research and experiment station,so the data sharing and reusability rate were very low,and the data value was hard to realize.But,based on a unified data management standard system,there were the specialized person responsible for data management and sharing and provided services for users,which effectively guaranteed the data quality,greatly improved the probability of the users to discover the data,and reduced the workload of the data owners to manage the data.Additionally,based on the“Hall three-dimensional structure”,we constructed the standard system framework for data management of agricultural scientific research and experiment station from three dimensions:standard application d
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