中国健康医疗大数据资源核心元数据研究
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摘要
目的构建我国健康医疗大数据资源核心元数据方案,为健康医疗大数据资源的有效利用与管理提供信息标准支撑。方法以Rational rose为建模工具,构建健康医疗大数据资源核心元数据模型,并以摘要形式进行元数据的属性描述。结果健康医疗大数据资源核心元数据模型包含内容、表示、资源获取与共享、资源管理、资源责任方5个元数据实体和25个元数据元素。每个元数据实体和元数据元素通过中文名称、定义、英文名称、数据类型、值域等属性描述。结论健康医疗大数据核心元数据标准能够为海量信息资源管理提供信息标准支撑,促进资源的高效检索、识别、定位和利用。
To construct the core metadata scheme of health big data resources in China,and provide information standard support for the effective utilization and management of health big data resources.Method With Rational Rose UML modeling tool,we built a core metadata model for health big data resources and described the attributes in summary format.Results The core metadata model of health big data resources consisted of 5 metadata entities,which included content,expression,resource accessing and sharing,resource management and resource responsible party,with 25 attributes.Metadata entities and attributes were defined and described by sub-attributes such as Chinese name,definition,English name,data type,range,and so on.Conclusion The core metadata standard of health big data would provide important support for the management of enormous information resources and promote efficient retrieval,identifying,locating,and utilizing of the resource.
To construct the core metadata scheme of health big data resources in China,and provide information standard support for the effective utilization and management of health big data resources.Method With Rational Rose UML modeling tool,we built a core metadata model for health big data resources and described the attributes in summary format.Results The core metadata model of health big data resources consisted of 5 metadata entities,which included content,expression,resource accessing and sharing,resource management and resource responsible party,with 25 attributes.Metadata entities and attributes were defined and described by sub-attributes such as Chinese name,definition,English name,data type,range,and so on.Conclusion The core metadata standard of health big data would provide important support for the management of enormous information resources and promote efficient retrieval,identifying,locating,and utilizing of the resource.
引文
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[2]刘雷.大数据时代的生物医学[J].中国计算机学会通讯,2013,9(9):16-19.
[3]谷魁英,尔西丁·买买提,胡珊,等.医疗卫生行业大数据应用研究进展[J].新疆医科大学学报,2015,38(8):1058-1060.
[4]陈峰.医疗改革与大数据[J].中国信息界-e医疗,2013,6(5):4.
[5]刘颖.医疗行业大数据分析的应用初探[J].装饰,2014,57(6):40-43.
[6]高惠荣.都柏林核心DC与MARC的特性及发展[J].图书情报工作,2009,30(S2):78-80.
[7]穆勇.政务信息资源目录体系建设理论与实践.[M].北京:北京大学出版社.2009.
[8]那旭东.数字化图书馆的元数据[J].学理论.2010,52(35):140-141.