@inproceedings{MirbabaieRieskampHofeditzetal.2024,
  author    = {Mirbabaie, Milad and Rieskamp, Jonas and Hofeditz, Lennart and Stieglitz, Stefan},
  title     = {Breaking down barriers},
  series = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences},
  booktitle = {Proceedings of the 57th Annual Hawaii International Conference on System Sciences},
  editor    = {Bui, Tung X.},
  publisher = {Department of IT Management Shidler College of Business University of Hawaii},
  address   = {Honolulu, HI},
  isbn      = {978-0-99813-317-1},
  pages     = {672 -- 681},
  year      = {2024},
  abstract  = {Many researchers hesitate to provide full access to their datasets due to a lack of knowledge about research data management (RDM) tools and perceived fears, such as losing the value of one's own data. Existing tools and approaches often do not take into account these fears and missing knowledge. In this study, we examined how conversational agents (CAs) can provide a natural way of guidance through RDM processes and nudge researchers towards more data sharing. This work offers an online experiment in which researchers interacted with a CA on a self-developed RDM platform and a survey on participants' data sharing behavior. Our findings indicate that the presence of a guiding and enlightening CA on an RDM platform has a constructive influence on both the intention to share data and the actual behavior of data sharing. Notably, individual factors do not appear to impede or hinder this effect.},
  language  = {en}
}
@techreport{KienbaumWuerflFavella2022,
  type      = {Working Paper},
  author    = {Kienbaum, Janna and W{\"u}rfl, Katja and Favella, Gianpiero},
  title     = {Leitfaden f{\"u}r einen qualitativen Methoden- und Feldbericht},
  doi       = {10.5281/zenodo.7247993},
  pages     = {12},
  year      = {2022},
  abstract  = {Der Leitfaden f{\"u}r einen qualitativen Methoden- und Feldbericht ist im Rahmen des DFG-Verbundprojektes "FDNext" (2020-2023) entstanden und dient als Orientierungshilfe f{\"u}r die Dokumentation erhobener Daten mit dem Schwerpunkt auf die qualitative Bildungsforschung.},
  language  = {de}
}
@techreport{KienbaumFischerPassmann2023,
  type      = {Working Paper},
  author    = {Kienbaum, Janna and Fischer, Patryk and Passmann, Sven},
  title     = {Forschungsdatenmanagement bei personenbezogenen Daten},
  doi       = {10.5281/zenodo.7428524},
  pages     = {18},
  year      = {2023},
  abstract  = {Das Dokument "Forschungsdatenmanagement bei personenbezogenen Daten - eine Handreichung" versammelt zentrale Inhalte, Verweise und Vorgehensweisen f{\"u}r Forscher*innen, die in einer Studie personenbezogene Daten erheben und diese verarbeiten, archivieren oder ver{\"o}ffentlichen wollen. Die Handreichung verweist an den entsprechenden Abschnitten auf weiterf{\"u}hrende Materialien wie insbesondere die Handreichung „Datenschutz" des Rats f{\"u}r die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (RatSWD).},
  language  = {de}
}