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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/10.7802/2839
Abstract: This survey is directed towards potential users of Monitoring Electoral Democracy (MEDem), which aims to establish itself as the European Research Infrastructure for demo ... more
Abstract: This survey is directed towards potential users of Monitoring Electoral Democracy (MEDem), which aims to establish itself as the European Research Infrastructure for demo ... more
Availability: Restricted Access
Subject area: [Social Sciences [=] Political Science]
Topics: Data management, Knowledge transfer, Research collaboration, research documentation, data access, data documentation, data storage, democracy
Date(s) of Data Collection: 2024-09-17; 2024-10-29
Universe: Sozialwissenschaftler:innen
Sampling Procedure: Non-probability Sample - Respondent-assisted Sample
Mode of Data Collection: Self-administered questionnaire:CASI(Computer-assisted Self-interview)
Notes: CP, GESIS, 05.03.25 Lizenz (CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)) vor Veröffentlichung entfernt
Primärforschende, Institution: Uluer, Selcuk; GESIS - Leibniz-Institut für Sozialwissenschaften, Kaftan, Lea; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2025
DOI: 10.7802/2839
Study number: SDN-10.7802-2839
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2839
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2798
Abstract: The FAIR principles as a framework for evaluating and improving open science and research data management have gained much attention over the last years. By defining a se ... more
Abstract: The FAIR principles as a framework for evaluating and improving open science and research data management have gained much attention over the last years. By defining a se ... more
Availability: Free access (with registration)
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Sociology [=] Sociology of Science, Sociology of Technology, Research on Science and Technology [=] Political Science]
Date(s) of Data Collection: 2023-10; 2024-04
Geographic coverage (free): [Global]
Universe: Election studies
Sampling Procedure: Non-probability Sample - Purposive Sample
Temporal Research Design: Longitudinal (trend study)
Mode of Data Collection: Computer-based observation
Primärforschende, Institution: Zenk-Möltgen, Wolfgang; GESIS - Leibniz Institute for the Social Sciences
Publication year: 2024
DOI: 10.7802/2798
Study number: SDN-10.7802-2798
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2798
Publications: Wolfgang Zenk-Möltgen (forthcoming): The role of FAIR principles in high-quality research data documentation: looking at national election studies. IASSIST Quarterly, Eder, C. and Jedinger, A. (2019) ‘FAIR national election studies: How well are we doing?’, European Political Science, 18(4), pp. 651–668. Available at: https://doi.org/10.1057/s41304-018-0194-3, Eder, Christina, & Jedinger, Alexander (2018). FAIR NATIONAL ELECTION STUDIES: HOW WELL ARE WE DOING?. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/1761., Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
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.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2349
Abstract: Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data b ... more
Abstract: Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data b ... more
Availability: Restricted Access
License: CC BY-NC 4.0: Namensnennung– Nicht kommerziell (https://creativecommons.org/licenses/by-nc/4.0/deed.de)
Subject area: [Sozialwissenschaften [=] Kommunikationswissenschaften]
Universe: Social sciences researchers using social media data for their research and having published journal articles based on social media data between 2018 and 2021.
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Akdeniz, Esra; GESIS - Leibniz-Institut für Sozialwissenschaften, Borschewski, Kerrin; GESIS - Leibniz-Institut für Sozialwissenschaften, Breuer, Johannes; GESIS - Leibniz-Institut für Sozialwissenschaften, Voronin, Yevhen; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2022
DOI: 10.7802/2349
Study number: SDN-10.7802-2349
Project funder: CESSDA Consortium of European of Social Science Data Archives
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2349
Version history:
| Version number | Changes in this version |
|---|---|
| 1.1 (aktuelle Version) | 2022-05-11 Missings
for V11Bstr_c* variables were corrected; variable V11Cstr_c14 was dropped
(coding error); variables for the Affiliation question (Q34) were recoded into
two binary variables V34_1_new
V34_2_new (recoding error). https://doi.org/10.7802/2418 |
| 1.0.0 | 2022-01-17 https://doi.org/10.7802/2349 |
GESIS, Cologne. Data File Version 1.1, https://doi.org/10.7802/2418
Abstract: Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data b ... more
Abstract: Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data b ... more
Availability: Restricted Access
License: CC BY-NC 4.0: Attribution – NonCommercial (https://creativecommons.org/licenses/by-nc/4.0/deed.de)
Subject area: [Social Sciences [=] Science of Communication]
Date(s) of Data Collection: 2021-07-16; 2021-10-06
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Akdeniz, Esra; GESIS - Leibniz-Institut für Sozialwissenschaften, Borschewski, Kerrin; GESIS - Leibniz-Institut für Sozialwissenschaften, Breuer, Johannes; GESIS - Leibniz-Institut für Sozialwissenschaften, Voronin, Yevhen; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2022
DOI: 10.7802/2418
Study number: SDN-10.7802-2418
Project funder: CESSDA Consortium of European of Social Science Data Archives
Publisher: GESIS, Cologne
Current Version: 1.1, https://doi.org/10.7802/2418
Version history:
| Version number | Changes in this version |
|---|---|
| 1.1 (aktuelle Version) | 2022-05-11 Missings
for V11Bstr_c* variables were corrected; variable V11Cstr_c14 was dropped
(coding error); variables for the Affiliation question (Q34) were recoded into
two binary variables V34_1_new
V34_2_new (recoding error). https://doi.org/10.7802/2418 |
| 1.0.0 | 2022-01-17 https://doi.org/10.7802/2349 |
