Christiane Behnert, M.A, was a research assistant at the Department of Information at the Hamburg University of Applied Sciences from March 2014 until July 2019. Her primary areas of research are relevance and relevance behaviour, information searching behaviour and interactive information retrieval. At the moment she is a Doctoral Candidate at the Univesity of Hildesheim in cooperation with the Hamburg University of Applied Sciences working on her doctoral project “Relevance Clues" which aims to determine the criteria by which users of academic search systems assess a result’s relevance.
From June 2014 to July 2019, she was a member of the research committee of the faculty DMI.
Christiane received her MA degree in Information Science in 2013 and her Diploma in Library Studies in 2009 from the University of Applied Sciences in Potsdam, Germany. During her Master studies, she worked as a student assistant at the Berlin Social Science Center Library, where she found research data management to be the subject of her Master Thesis.
Before that, she worked as a librarian at the University Library Greifswald and helped to develop the Digital Library of Mecklenburg-Western Pomerania.
Lewandowski, D.; Sünkler, S.; Schultheiß, S.; Häußler, H.; Spree, U.; Behnert, C. (2021): The Search Studies Group at Hamburg University of Applied Sciences. Datenbank Spektrum. https://doi.org/10.1007/s13222-021-00375-x
Schultheiß, S.; Linhart, A.; Behnert, C.; Rulik, I.; Lewandowski, D. (2020): Known-item searches and search tactics in library search systems: Results from four transaction log analysis studies. Journal of Academic Librarianship 46(5), article 102202. https://doi.org/10.1016/j.acalib.2020.102202
Behnert, C. (2019): Investigating the Effects of Popularity Data on Predictive Relevance Judgments in Academic Search Systems. In Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 437–440). New York, NY, USA: ACM. https://doi.org/10.1145/3295750.3298978
Behnert, C. (2019): Kriterien und Einflussfaktoren bei der Relevanzbewertung von Surrogaten in akademischen Informationssystemen. Information - Wissenschaft & Praxis, 70(1), 24–32. https://doi.org/10.1515/iwp-2019-0002