Georeferencing survey data

该项目旨在建立一个基础设施，通过对调查数据进行地理参照，将调查数据与小规模的实质性地理数据相匹配。这种基础设施的可用性将为在实证社会研究中使用地理数据开辟新的机会。为了充分利用地理参照调查数据的分析潜力，除了完成地理参照任务外，还必须为数据的分发和再利用创造条件。这就需要制定一个一致的元数据计划，以记录地理参考调查数据，并审查数据保护立法中有关数据提供的现行要求。为了实现这一目标，该项目建立了地理参考的技术程序，包括两个实际应用程序。首先，我们计划对来自ALLBUS和GESIS小组的数据进行地理参考，以便进行实质性研究。其次，我们将从调查数据中生成小行政单位（例如德国县）的一致时间序列。为了能够对地理参考调查数据进行二次分析，我们将根据DDI元数据标准制定一个元数据计划，其中已经包括地理数据文件的选项。为了通过社会科学数据档案库分发数据，我们将开发一个检查程序，使我们能够根据德国数据保护立法选择地理参考文件的使用要求。

The project aims at creating an infrastructure for matching survey data with small-scale, substantive geodata by georeferencing the survey data. The availability of such an infrastructure will open up new opportunities for using geodata in empirical social research. In order to fully exploit the analytic potential of georeferenced survey data it is necessary - in addition to accomplishing the task of georeferencing - to establish the conditions for distribution and reuse of the data. This requires the development of a consistent metadata scheme for documentation of georeferenced survey data and a review of the current requirements of data protection legislation concerning data provision. To attain this goal, the project establishes technical procedures for georeferencing and includes two practical applications. First, we plan to georeference data from the ALLBUS and the GESIS panel to allow for substantive research. Second, we will generate from the survey data consistent time series for small administrative units (e.g. German counties). In order to allow for secondary analysis of the georeferenced survey data we will develop a metadata scheme according to the DDI standard for metadata, which already includes options for the documentation of geodata. For distribution of the data through the Data Archive for the Social Sciences we will develop a check routine that enables us to select usage requirements for the georeferenced files in accordance with German data protection legislation.