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New Data Spaces for the Social Sciences
 

Background

Germany has a set of well-established longitudinal survey programs. However, systematic and future-orientated social science research needs to constantly keep up with new developments and therefore to additionally rely on new forms of data, e.g., from administrative processes, digital communication and mobility as well as new forms of data acquisition and quality measures for methods inherent bias. In order to unlock these emerging opportunities of new data spaces and, thus, to be able to expand and enrich our understanding of the major social challenges of the coming decades, the Programme Committee envisioned and, together with the German Research Foundation (DFG), established the unique long-term Infrastructure Priority Programme “New Data Spaces for the Social Sciences” (SPP 2431).

It is based on two major convictions:

  1. The social sciences can only provide empirical evidence to address current and pressing research questions if they expand the analytical potential of existing longitudinal survey data through innovative methods and the additional use of novel data sources.
  2. Developing new data spaces requires synergies between different research fields, methodologies, and approaches.

SPP 2431 focusses on and initiates research with, for, and in the context of existing research data infrastructures and exploits the joint potential of different data sources. By bundling and orchestrating the skills, knowledge, and expertise within different fields of empirical social science and computer science, SPP 2431 provides the means to test new methods and procedures of data generation in order to develop best-practice examples of data provision, data collection, and data integration; to enhance data quality; and to anchor innovations in data collection programs. 

By building on the strengths of existing panel studies, by opening up new avenues for the social sciences, by building on the strengths of existing panel studies, by innovating new methods and procedures, and by complementing them with the intelligent integration of data derived through new technologies, SPP 2431 aims at having a lasting impact on the empirical social sciences and the survey and data landscape.

 

Objective

The SPP projects have the goal of researching and creating technical and methodological solutions for the future sustainability of panel surveys, enriching them with data from other sources, and thus paving the way for social science research on key societal challenges. By combining various disciplinary perspectives, foci, and approaches, the SPP aims to make substantial progress in expanding the scope and strength of panel studies in the social sciences in Germany. A distinctive feature of the SPP is its problem-centered approach, which brings together researchers from different fields to work jointly on specific research questions. By using prototypes of existing technologies and developing them further to serve the aims, constraints, and data protection needs of large-scale panel studies, we create synergies. By exploring novel methods and approaches, we establish new avenues of research and build bridges between previously isolated fields of research (e.g., computer science and survey methods). Panel studies will benefit from this exploration of promising methods and technologies that have the potential to reduce the burden of conducting surveys and to systematically enrich data spaces by offering new types and qualities of data.

As a whole, the SPP develops and introduces new data types and makes them accessible for research. It also develops corresponding methods for collecting and processing survey data and integrating the various data types. 

 

Overview and Structure of the SPP 2431

 

Project profile

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Further Projects

Dynamic Surveys for Dynamic Life Courses (DSDLC)
Duration: 01.09.2024 – 31.08.2027

DSDLC

 
Project partners
GESIS Leibniz-Institut für Sozialwissenschaften
Freie Universität Berlin
Goethe Universität Frankfurt a. Main