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Documenting Georeferenced Social Science Survey Data: Limits of Metadata Standards and Possible Solutions

机译:记录地理参考的社会科学调查数据:元数据标准的局限性和可能的​​解决方案

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摘要

In this article, we present documentation of the georeferenced social science survey data that are spatially linked to geospatial data attributes. We introduce the challenges of documentation, as different metadata standards are used for both data sources: social science survey data and geospatial data. In particular, we analyze the extent to which the social sciences metadata standard DDI Lifecycle is capable of incorporating the geoscien-ces metadata standard ISO 19115. We find that the most challenging attributes to describe are those concerning the geographic structure of the geospatial data, especially if they stem from different sources. To navigate these issues, we developed and evaluated four workaround approaches which we demonstrate in a case study on the georeferenced German General Social Survey. Because not all of the approaches apply equally to every research project and institution, we provide a scheme to assist in making informed and weighted decisions.
机译:在本文中,我们介绍了地理参考的社会科学调查数据的文档,这些数据在空间上与地理空间数据属性相关联。我们介绍了文档编制方面的挑战,因为两种数据源都使用了不同的元数据标准:社会科学调查数据和地理空间数据。特别是,我们分析了社会科学元数据标准DDI Lifecycle能够纳入地理科学元数据标准ISO 19115的程度。我们发现要描述的最具挑战性的属性是有关地理空间数据的地理结构的属性,尤其是如果它们来自不同的来源。为了解决这些问题,我们开发并评估了四种变通方法,这些方法在以地理参考的德国综合社会调查的案例研究中得到了证明。由于并非所有方法都平等地适用于每个研究项目和机构,因此我们提供了一种方案,可帮助您做出明智的加权决策。

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