New Data Types in Research Data Management

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

Striewski, Sören, Olga Zagovora, and Isabella Peters. 2022. "Scientific Discourse on YouTube: Motivations for Citing Research in Comments." In Proceedings of the Association for Information Science and Technology, edited by Dirk Lewandowski, and Garrett Doherty, 59 1, 299-309. Hoboken, NJ: Wiley. doi: https://doi.org/10.1002/pra2.754.
Batzdorfer, Veronika, Holger Steinmetz, Marco Biella, and Meysam Alizadeh. 2022. "Conspiracy theories on Twitter: Emerging motifs and temporal dynamics during the COVID-19 pandemic." International Journal of Data Science and Analytics 13 315–333. doi: https://doi.org/10.1007/s41060-021-00298-6.
Zagovora, Olga, Roberto Ulloa, Katrin Weller, and Fabian Flöck. 2022. ""I updated the <ref>": The evolution of references in the English wikipedia and the implications for altmetrics." Quantitative Science Studies 3 (1): 147-173. doi: https://doi.org/10.1162/qss_a_00171.
Bittermann, André, Veronika Batzdorfer, Sarah Marie Müller, and Holger Steinmetz. 2021. "Mining Twitter to detect hotspots in psychology." Zeitschrift für Psychologie 229 (1): 3-14. doi: https://doi.org/10.1027/2151-2604/a000437.
Sen, Indira, Fabian Flöck, Katrin Weller, Bernd Weiß, and Claudia Wagner. 2022. "Applying a total error framework for digital traces to social media research." In Handbook of Computational Social Science. Volume 2: Data science, statistical modelling, and machine learning methods, edited by Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, and Lars Lyberg, 127-139. Routledge.