Social scientists are increasingly drawing on new forms of data beyond the traditional genres of surveys and interviews. These data include administrative records, commercial transactions, social media and internet data, geo-spatial data, and image and audio data. These types of new data present challenges for technical infrastructure, legal governance, and ethically responsible research and digital preservation.
Our research on New Forms of Data
- linking digital behavioral data (e.g., social media) with survey data
- digital preservation of social media data to enable access while protecting privacy
- georeferencing surveys to link them to small-scale neighborhood information found in geo-spatial data
- Schaible, Johann, Marcos Oliveira, Maria Zens, and Mathieu Génois. 2022. "Sensing Close-Range Proximity for Studying Face-to-Face Interaction." 1. In Handbook of Computational Social Science; Vol 1: Theory, Case Studies and Ethics, edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, and Lars Lyberg, European Association of Methodology series, 219-239. Abingdon, Oxon: Routledge.
- Sen, Indira, Fabian Flöck, Katrin Weller, Bernd Weiß, and Claudia Wagner. 2021. "A Total Error Framework for Digital Traces of Human Behavior on Online Platforms." Public Opinion Quarterly 85 (S1): 399–422. doi: https://doi.org/10.1093/poq/nfab018.
- Lemke, Steffen, Olga Zagovora, Katrin Weller, Astrid Orth, Daniel Beucke, Julius Stropel, and Isabella Peters. 2020. *metrics: Recommendations from the DFG *metrics project for “measuring the reliability and perceptions of indicators for interactions with scientific products”. DINI Schriftenreihe. Humboldt-Universität zu Berlin. doi: https://doi.org/10.18452/22242.
- Kinder-Kurlanda, Katharina E., and Katrin Weller. 2020. "Perspective: Acknowledging data work in the social media research lifecycle." Frontiers in Big Data 3 (509954). doi: https://doi.org/10.3389/fdata.2020.509954.
- Bensmann, Felix, Lars Heling, Stefan Jünger, Loren Mucha, Maribel Acosta, Jan Göbel, Gotthard Meinel, Sujit Sikder, York Sure-Vetter, and Benjamin Zapilko. 2020. "An Infrastructure for Spatial Linking of Survey Data." Data Science Journal 19 (1): 27. doi: https://doi.org/10.5334/dsj-2020-027.
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Find out more about our consulting and services:
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Analyzing Digital Behavioral Data
Methods, tools, frameworks and infrastructures for analyzing digital behavioral data.
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CSS Capacity Building
Talks, tutorials, materials on computational methods for the collection, processing, and analysis of digital behavioral data.
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Digital Behavioral Data: Datasets
Curated digital behavioral data – datasets for scientific re-use.
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GESIS Guides to Digital Behavioral Data
Expertise and hands-on advice on the acquisition and analysis of digital behavioral data and the computational methods needed.