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The BonaRes metadata schema for geospatial soil-agricultural research data - Merging INSPIRE and DataCite metadata schemes

机译:用于地理空间土壤农业研究数据的BonaRes元数据模式-合并INSPIRE和DataCite元数据方案

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A spatial data infrastructure (SDI) for the upload and provision of soil-agricultural research data in Germany was developed and launched in 2017. The precondition for the new SDI were to be compliant with the European initiative for spatial information (INSPIRE), to consider FAIR data principles, to be interoperable with other disciplinary national and international SDIs and to support dataset registrations with digital object identifiers (DOI). To meet these requirements, the new SDI had to support both the INSPIRE and DataCite metadata standards. As there was no metadata standard available that supported both metadata schemes from different disciplines, it became necessary to merge these two existing standards.The objective of this paper is to describe the developmental steps of the newly created BonaRes metadata schema for geospatial soil-agricultural research data. First, we analyzed the INSPIRE and DataCite metadata schemas, identified and compared semantically equivalent metadata elements, including properties and allowed content values, for potential mapping. In the next step, we specified the new metadata model, whose elements were derived from INSPIRE or DataCite under consideration of the previously developed mapping. Third, additional metadata elements were defined to directly describe the underlying data model.The advantages and disadvantages of the method that was applied to define the BonaRes metadata schema elements originating from INSPIRE and DataCite schemas are presented and discussed. By implementing the new metadata model, the SDIs can achieve cross-portal metadata interoperability with other INSPIRE-compliant SDIs. Furthermore, researchers who store their geospatial research data in SDIs to implement the BonaRes metadata schema can increase the visibility and findability of their research, as the data can be assigned a DOI, which is a prerequisite for data citations and data publications. The new metadata elements of the BonaRes metadata schema allows targeted dataset queries, e.g., soil pH values, yields or parameters, which were measured by a specific method, using the underlying data model, and improves the discovery and reusability of research data.
机译:2017年开发并启动了用于上传和提供德国土壤农业研究数据的空间数据基础设施(SDI)。新SDI的前提是要符合欧洲空间信息倡议(INSPIRE)的考虑FAIR数据原则,可与其他学科的国家和国际SDI互操作,并支持使用数字对象标识符(DOI)进行数据集注册。为了满足这些要求,新的SDI必须同时支持INSPIRE和DataCite元数据标准。由于没有可用的元数据标准支持来自不同学科的两种元数据方案,因此有必要合并这两个现有标准。本文的目的是描述新创建的用于地理空间土壤农业研究的BonaRes元数据模式的发展步骤。数据。首先,我们分析了INSPIRE和DataCite元数据模式,确定并比较了语义等效的元数据元素,包括属性和允许的内容值,以进行潜在的映射。在下一步中,我们指定了新的元数据模型,考虑到先前开发的映射,其元数据是从INSPIRE或DataCite派生的。第三,定义了其他元数据元素以直接描述基础数据模型。提出并讨论了用于定义源自INSPIRE和DataCite模式的BonaRes元数据模式元素的方法的优缺点。通过实现新的元数据模型,SDI可以与其他符合INSPIRE的SDI实现跨门户的元数据互操作性。此外,将地理空间研究数据存储在SDI中以实现BonaRes元数据架构的研究人员可以提高研究的可见性和可发现性,因为可以为数据分配DOI,这是引用数据和发布数据的前提。 BonaRes元数据架构的新元数据元素允许使用基础数据模型进行针对性的数据集查询,例如土壤pH值,产量或参数,这些值通过特定方法进行了测量,并提高了研究数据的发现和可重用性。

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