#GESISblog #blog #KODAQS #DataQuality #DBD #DigitalBehavioralData
New on the GESIS Blog: Part 2 of our blog series on the KODQAS Toolbox: Digital Behavioral Data
In the first blog post of the KODAQS Toolbox series, we discussed how data quality issues can affect survey data. Similar challenges arise in digital behavioral data (DBD), though they often manifest differently.
#GESISGuides #DBD #DigitalBehavioralData #mobiledatacollection #GESISAppKit
Out now: GESIS Guides to Digital Behavioral Data #27: Charlotte de Alwis, Vijaya Lakshmi, Mareike Wieland: How to Use the GESIS AppKit?
#GESISGuides #DBD #DigitalBehavioralData #ABM
Out now: GESIS Guides to Digital Behavioral Data #21: Cristina Chueca Del Cerro: What is Agent-Based Modeling?
https://doi.org/10.60762/GGDBD25021.1.0
This guide offers an introduction to agent-based modeling (ABM), a simulation method used across disciplines to explore emergent behaviors in complex systems.
#blog #GESISPanel.dbd #Bias #DigitalBehavioralData
The new post on the #GESISblog highlights the use of and attitudes toward #AI in Germany. Julius Kleinbub, Dr. Joachim Piepenburg, and Katharina Kraft show that most people had heard about ChatGPT, while frequent use was scarce, with mixed attitudes toward AI.
Using a dataset of the GESIS Panel.dbd from 2023, this article examines AI use and attitudes in Germany. Almost half of the respondents had tried ChatGPT while one in five had not heard of it.
#DataQuality #DigitalBehavioralData #DBD
Special Issue Explores the Quality of Digital Behavioral Data, by Weiß, B., Leitgöb, H., & Wagner, C
Most DBD are not generated for research purposes but are a side product of our daily activities. A new special issue addresses key questions:
#dataquality #Surveydata #digitalbehavioraldata #linkeddatasources
Official launch of the #KODAQS #Toolbox in July 2025
The KODAQS Toolbox is a new, open platform for assessing and improving data quality in the social sciences. It supports researchers in systematically reflecting on the quality of their data - along three central data types: Survey data, digital behavioral data (e.g. app or sensor data) and linked data sources (e.g. register and geospatial data).
https://kodaqs-toolbox.gesis.org/
#GESISGuides #DBD #DigitalBehavioralData
Lux, V., & Wieland, M. (2025). How to Set up and Monitor App-based Data Collections (GESIS Guides to Digital Behavioral Data, 22).
https://doi.org/10.60762/ggdbd25022.1.0
This guide addresses that gap by offering practical recommendations to manage the active data collection phase.
#GESISGuides #DBD #DigitalBehavioralData
Fröhling, L., Birkenmaier, L., Lux, V., & Daikeler, J. (2025). How to Find and Explore Data Quality Frameworks for Digital Behavioral Data (GESIS Guides to Digital Behavioral Data, 26).
#GESISGuides #DBD #DigitalBehavioralData
Bleier, A. (2025). What is Computational Reproducibility? (GESIS Guides to Digital Behavioral Data, 2).
https://doi.org/10.60762/ggdbd25002.1.0
This guide is intended to serve as a starting point for CSS researchers who want to increase the reproducibility of their work and, by doing so, contribute to a culture of openness, accountability, and cumulative scientific progress.
GESIS