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Research Infrastructure and Innovation Lab (ENTAILab)
ENTAILab Documentation - Hub
The Research Infrastructure and Innovation Lab (ENTAILab) is part of the DFG-funded Infrastructure Priority Programme New Data Spaces for the Social Sciences (InfPP 2431). ENTAILab is dedicated to the use and advancement of existing research infrastructures and to the demand-oriented development of new infrastructure for InfPP projects and emerging data spaces. It aims to create a unique foundation for research-based innovations in survey data and beyond.
ENTAILab consists of a set of four infrastructure measures that provide a successful and supportive environment for research within and across the projects of InfPP. Together, they will systematically feed results back into different kinds of panel applications and studies and social science research in general.
ENTAILab
Measure 1: Build on and Develop Existing Panel StudiesMeasure 2 Our work
Research-Driven Infrastructure for Advanced Survey-Related Data (CIRCLET)
ENTAILab involves the implementation, testing and provision of a strong research-oriented tool in the form of a research-driven infrastructure for advanced survey-related data (CIRCLET). CIRCLET will ensure the reproducibility and interoperability of methods working with survey data. This is done through a multi-phase strategy that drives, scales and evaluates the development of methods based on new survey data over the course of InfPP. CIRCLET develops, tests and provides generic services to open up new data and methodological horizons according to the evolving needs of InfPP.
Measure 3: Data Protection and EthicsMeasure 4: Results for Future Data Spaces and Open SciencePrincipal Investigators
- Prof. Dr. Cordula Artelt (Measure 4)
- Prof. Dr. Corinna Kleinert (Measure 4)
- Prof. Dr. Stefan Liebig (Measure 1)
- Prof. Dr. Alexander Mehler (Measure 2)
- Prof. Dr. Reinhard Pollak (Measure 3)
- Prof. Dr. Sabine Zinn (Measure 1)
