Conceptualizing a Spatial Data Infrastructure for the Social Sciences: An Example from Germany. Issue 1 (2nd January 2016) - Schweers, Stefan
Abstract : There is an increasing demand for spatial data within the social sciences as such data promise to contribute to a better understanding of how the concrete living environment influences individuals' attitudes and behaviors. Spatial data can complement data from surveys; however, as of yet there is no spatial data infrastructure for the social sciences in Germany that facilitates merging of spatial data with survey data. This article explores avenues for creating such a spatial data infrastructure (SDI) for the social sciences in Germany. We examine the role that librarians, archivists, and curators can play in offering spatial data infrastructure services for social scientists, and show the scope and nature of necessary tasks in areas such as harmonization, archiving, dissemination, and user support. As the case of Germany is similar to that of other European countries, we expect our results to be helpful in the creation of SDIs in other countries as well. This article suggests technical and organizational measures for merging survey data and spatial data in compliance with German privacy legislation. Measures for storage and dissemination of enriched survey data, for example by providing restricted access to the data in a secured environment, also are explored.