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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
- Research data
- Variables from questionnaires
- Instruments and tools
- Literature
- Publications on research data and survey instruments
- Open-access Publications in the Social Sciences
- Literature on "Women in Science and Research"
- Collections of the GESIS library
- General information and offers on the GESIS websites
Contact: suche@gesis.org
The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2652
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, data quality, survey research, data capture, epidemic, comparison of methods, methodological research
Date(s) of Data Collection: 2022-09; 2023-05
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative surveys in the field of social sciences or health targeting large parts of the general population between March 1, 2020 and December 31, 2021 in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Glasenapp, Karolina von; GESIS - Leibniz-Institut für Sozialwissenschaften, Skora, Thomas; GESIS - Leibniz-Institut für Sozialwissenschaften, Gummer, Tobias; GESIS - Leibniz-Institut für Sozialwissenschaften, Naumann, Elias; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2652
Study number: SDN-10.7802-2652
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2652
Publications: Gummer, T., Skora, T., von Glasenapp, K. & Naumann, Elias (2024). A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic. Scientific Data 11, 619. https://doi.org/10.1038/s41597-024-03475-x, Skora, Thomas, & von Glasenapp, Karolina (2024). Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2656.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2759
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (S ... more
Abstract: The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (S ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, epidemic, data quality, survey research, data capture, comparison of methods, methodological research, longitudinal study
Date(s) of Data Collection: 2022-09; 2024-03
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative longitudinal surveys in the field of social sciences or health targeting large parts of the general population with data collection before and during (i.e. between March 1, 2020 and December 31, 2021) the Covid-19 pandemic in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Skora, Thomas; GESIS, Glasenapp, Karolina von; GESIS, Gummer, Tobias; GESIS, Bartholomäus, Saskia; GESIS, Naumann, Elias; GESIS
Publication year: 2024
DOI: 10.7802/2759
Study number: SDN-10.7802-2759
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2759
Batzdorfer, Veronika; Zenk-Möltgen, Wolfgang; Young, LauraKatsanidou, Alexia; Breuer, Johannes; Bishop, Libby
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2721
Abstract: Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular unde ... more
Abstract: Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular unde ... more
Availability: Free access (with registration)
License: CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Soziologie [=] Medizinsoziologie [=] Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie]
Topics: Open science, social science, health, data access, epidemic, data quality, data capture, data collection method, methodological research, comparison of methods
Date(s) of Data Collection: 2019; 2023
Geographic coverage (free): [Global]
Universe: Scientific journal articles, covering COVID-19 and social sciences, with associated data
Sampling Procedure: Non-probability Sample - Availability Sample
Temporal Research Design: cross-section
Mode of Data Collection: Field observation
Primärforschende, Institution: Batzdorfer, Veronika; KIT-Karlsruhe Institute of Technology, Zenk-Möltgen, Wolfgang; GESIS - Leibniz Institute for the Social Sciences, Young, Laura; University of Mannheim, Katsanidou, Alexia; GESIS - Leibniz Institute for the Social Sciences, Breuer, Johannes; GESIS - Leibniz Institute for the Social Sciences, Bishop, Libby; GESIS - Leibniz Institute for the Social Sciences
Publication year: 2024
DOI: 10.7802/2721
Study number: SDN-10.7802-2721
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2721
Version history:
| Version number | Changes in this version |
|---|---|
| 1.0.0 (aktuelle Version) | 2024-05-30 https://doi.org/10.7802/2721 |
Publications: Batzdorfer, Veronika, Wolfgang Zenk-Möltgen, Laura Young, Alexia Katsanidou, Johannes Breuer, and Libby Bishop. 2024. "Between urgency and data quality: assessing the FAIRness of data in social science research on the COVID-19 pandemic." Research Ethics. https://doi.org/10.1177/17470161241257575.
