GESIS Tools for the Collection of Digital Behavioral Data (DBD)
GESIS develops innovative methods and tools for collecting digital behavioral data in social science research. This is part of our ambition to provide a comprehensive infrastructure for the integration of these new types of data across all phases of the research data cycle to the community.
*** These services are in development. ***
GESIS Web Tracking
GESIS Web Tracking enables the browser-based collection of digital behavioral data. We provide a browser plugin for collecting data on information behavior and the information content perceived.
GESIS AppKit
The GESIS AppKit enables the smartphone-based collection of survey and sensor data. We offer an interactive dashboard for study design and the administration of study participants and an app (Android and iOS) for data collection.
GESIS Panel.dbd
The GESIS Panel Digital Behavioral Data Sample (GP.dbd) collects linked survey and digital behavioral data. In the future, the GP.dbd will also offer the opportunity to conduct your own survey or to analyze survey and digital behavioral data that has already been collected.
News and Publications
- Data paper on RFID sensor data for social science research questions published
Génois, Mathieu, Maria Zens, Marcos Oliveira, Clemens Lechner, Johann Schaible, and Markus Strohmaier. 2023. "Combining Sensors and Surveys to Study Social Interactions: A Case of Four Science Conferences." Personality Science 4: 1-24. doi: https://doi.org/10.5964/ps.9957. - Template for documenting platform data published
Fröhling, Leon, Indira Sen, Felix Soldner, Leonie Steinbrinker, Maria Zens, and Katrin Weller. 2023. Total Error Sheets for Datasets (TES-D) – A Critical Guide to Documenting Online Platform Datasets. Arxiv. doi: https://doi.org/10.48550/arXiv.2306.14219. - Consider collaborating on the advancement of GESIS Web Tracking
If you want more information, please contact us. - Paper on digital behavioral data infrastructures for communication research published
Sebastian Stier, Frank Mangold, Mareike Wieland, Lukas Otto. 2023. "Neue Infrastrukturen für die Messung digitaler Mediennutzung." Publizistik - GESIS Web Tracking succesfully implemented in GESIS Panel.plus
Beta tests are ongoing – get more information here - GESIS Surf – call for participation
Beta tests are ongoing – get more information here - "Just Another Day on Twitter"
Dataset published at GESIS – read Dennis Assenmacher's blogpost on this (last?) large Twitter dataset - GESIS Fall Seminar in Computational Social Science 2023 (11-29 September)
Program & Registration at GESIS Training - Working paper on reproducibility published
Schoch, David, Chung-hong Chang, Claudia Wagner, Arnim Bleier: Computational Reproducibility in Computational Social Science. Arxiv. doi: https://doi.org/10.48550/arXiv.2307.01918
