Potentials of a Research Infrastructure for Linking Survey and Spatial Data to Enable Interdisciplinary Research

An interdisciplinary approach to the spatial analysis of survey data and the usage of social science and spatial science research data is a proper way to analyse questions of spatial justice and spatial inequality in more detail. The required technical linkage entails a number of hurdles such as data privacy, data access, reproducibility, and technical knowledge. The ’Geolinking ServiceSoRa’ is being developed to operationalise this linkage and make it easier to offer for research. The linking methods offered, their parametrisation and the expected output are presented in this article. Furthermore, the linkage process is demonstrated using the ’Practise Dataset’ by the Socio-Economic Panel (SOEP) and a spatial indicator of the ’IOER Monitor’ as an example to show the functionalities of the presented linking service. Challenges of implementing the SoRa service (such as usability, performance or handling of uncertainties) are discussed, with a focus on spatial science.

Publication Details

Journal
ePLUS
Published
2025-01-01
DOI
https://doi.org/10.25598/agit/2025-21
Primary Topic
Spatial and Panel Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Potentials of a Research Infrastructure for Linking Survey and Spatial Data to Enable Interdisciplinary Research

ePLUS
Spatial and Panel Data Analysis
article

Potentials of a Research Infrastructure for Linking Survey and Spatial Data to Enable Interdisciplinary Research

article en

Abstract

An interdisciplinary approach to the spatial analysis of survey data and the usage of social science and spatial science research data is a proper way to analyse questions of spatial justice and spatial inequality in more detail. The required technical linkage entails a number of hurdles such as data privacy, data access, reproducibility, and technical knowledge. The ’Geolinking ServiceSoRa’ is being developed to operationalise this linkage and make it easier to offer for research. The linking methods offered, their parametrisation and the expected output are presented in this article. Furthermore, the linkage process is demonstrated using the ’Practise Dataset’ by the Socio-Economic Panel (SOEP) and a spatial indicator of the ’IOER Monitor’ as an example to show the functionalities of the presented linking service. Challenges of implementing the SoRa service (such as usability, performance or handling of uncertainties) are discussed, with a focus on spatial science.

ePLUS
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Spatial and Panel Data Analysis
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