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Automatic spatial metadata systems - the case of Australian urban research infrastructure network

机译:自动空间元数据系统-以澳大利亚城市研究基础设施网络为例

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The increasing amount of spatial data demands effective and efficient methods for managing them in spatial data infrastructures (SDIs). Metadata standards have been developed in response to the needs of data custodians who manage these ever-growing resources and in recognition of the end users' need for easy access and discovery of spatial data. Data custodians prepare metadata records and allow SDIs to harvest them. The harvesting can be undertaken through metadata standards or data service standards. The metadata updating processes are not efficient and, therefore, create a disjoint between the data and its metadata. As a result, end users cannot realize the full potential of metadata records. In addressing this issue, the paper presents an automatic spatial metadata system with a suite of functions including metadata monitoring, enrichment, and maintenance to enable the data custodians to manage the integrity of their metadata records in SDIs. These functions have been demonstrated and reviewed through a case study in the Australian Urban Infrastructure Network (AURIN). Using these functions, AURIN's data custodians have been able to offer over 1200 coherent and consistent spatial metadata records to end users.
机译:空间数据量的增加要求在空间数据基础结构(SDI)中管理它们的有效方法。响应于管理这些不断增长的资源的数据保管人的需求,并认识到最终用户对轻松访问和发现空间数据的需求,开发了元数据标准。数据托管人准备元数据记录,并允许SDI收集它们。可以通过元数据标准或数据服务标准来进行收集。元数据更新过程效率不高,因此会在数据及其元数据之间造成脱节。结果,最终用户无法实现元数据记录的全部潜力。为了解决这个问题,本文提出了一种具有一组功能的自动空间元数据系统,该功能包括元数据监视,充实和维护,以使数据保管人能够管理其在SDI中元数据记录的完整性。这些功能已通过澳大利亚城市基础设施网络(AURIN)的案例研究得到了证明和审查。使用这些功能,AURIN的数据保管人已经能够为最终用户提供1200多个连贯一致的空间元数据记录。

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