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Trendumfrage Forschungsdateninfrastrukturen 2024 - Daten- und Methodenbericht.

Hartstein, J., Blümel, C., & Klein, D. (2025).
Trendumfrage Forschungsdateninfrastrukturen 2024 - Daten- und Methodenbericht. Hannover: DZHW. https://doi.org/10.21249/dzhw:base4nfdi-dmr:2.0.0
Abstract

The Trend Survey Research Data Infrastructures 2024 is part of the accompanying research of the Basic Services for the National Research Data Infrastructure (Base4NFDI). The trend survey captures the perception, use and evaluation of established and new data infrastructures and services in the German research landscape. The focus in on the perspective of (potential) users

Improving the performance of evolutionary-based complex detection models using gene ontology-based mutation operator in potein-protein interaction networks.

Abbas, M., Broneske, D., & Saake, G. (2025).
Improving the performance of evolutionary-based complex detection models using gene ontology-based mutation operator in potein-protein interaction networks. In Arai, K. (Hrsg.), Intelligent Systems and Applications. Proceedings of the 2025 Intelligent Systems Conference (IntelliSys) (S. 512-528). Cham: Springer. https://doi.org/10.1007/978-3-031-99958-1_32

Static and dynamic contextual embedding for AutoML in text classification tasks.

Safikhani, P., & Broneske, D. (2025).
Static and dynamic contextual embedding for AutoML in text classification tasks. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2025 7th International Conference on Natural Language Processing (ICNLP) (S. 292-301). Jacksonville, Florida, USA: IEEE Xplore. https://doi.org/10.1109/ICNLP65360.2025.11108687

Gotta catch 'Em All... Or Not?: How LLMs bypass traditional checks & mimic human response behavior in web surveys.

Shahania, S., Spiliopoulou, M., & Broneske, D. (2025).
Gotta catch 'Em All... Or Not?: How LLMs bypass traditional checks & mimic human response behavior in web surveys. In Association for Computing Machinery (Hrsg.), CI '25: Proceedings of the ACM Collective Intelligence Conference (S. 113-128). New York: ACM. https://doi.org/10.1145/3715928.3737491

Neue berufliche Rollen? Kompetenz- und Aufgabenprofile in der IT-gestützten Forschungsberichterstattung.

Thiedig, C., Schelske, S., Petersohn, S., & Euler, T. (2025).
Neue berufliche Rollen? Kompetenz- und Aufgabenprofile in der IT-gestützten Forschungsberichterstattung. Daten- und Methodenbericht zur quantitativen Erhebung des BMBF-geförderten Projektes BERTI. Hannover: DZHW.

SBC-SHAP: Increasing the accessibility and interpretability of machine learning algorithms for sepsis prediction.

Walke, D., Steinbach, D., Kaiser, T., Schönhuth, A., Saake, G., Broneske, D., & Heyer, R. (2025).
SBC-SHAP: Increasing the accessibility and interpretability of machine learning algorithms for sepsis prediction. The Journal of Applied Laboratory Medicine. https://doi.org/10.1093/jalm/jfaf091

DZHW-Studienberechtigtenpanel 2012. Daten- und Methodenbericht zur 3. Befragungswelle des Studienberechtigtenjahrgangs 2012.

Jahn, V., Spangenberg, H., Ohlendorf, D., Föste-Eggers, D., Niebuhr, J., Vietgen, S., & Euler, T. (2025).
DZHW-Studienberechtigtenpanel 2012. Daten- und Methodenbericht zur 3. Befragungswelle des Studienberechtigtenjahrgangs 2012. Hannover: DZHW.
Abstract

The DZHW-Panel Study of School Leavers 2012 is part of the DZHW-Panel Study of School Leavers survey series, in which standardized multiple surveys are used to collect information on the post-school careers of school leavers with a (school) higher education entrance qualification. As a rule, several survey waves are conducted at different times before and after the acquisition of the higher education entrance qualification for each year group of persons with a university entrance qualification. Accordingly, this is a combined cohort-panel design. The panel 2012 is the 19th cohort of the study series with currently three waves. Full abstract: https://doi.org/10.21249/DZHW:gsl2012:3.0.0

SurveyBot: A new era of web survey pretesting.

Shahania, S., Spiliopoulou, M., & Broneske, D. (2025).
SurveyBot: A new era of web survey pretesting. In I. Maglogiannis, L. Iliadis, A. Andreou, & A. Papaleonidas (Hrsg.), Artificial Intelligence Applications and Innovations. AIAI 2025. IFIP Advances in Information and Communication Technology. Cham: Springer. https://doi.org/10.1007/978-3-031-96235-6_29

Towards automatic bias analysis in multimedia journalism.

Hinrichs, R., Steffen, H., Avetisyan, H., Broneske, D., & Ostermann, J. (2025).
Towards automatic bias analysis in multimedia journalism. Discover Artificial Intelligence, 5(1), 1-28. https://doi.org/10.1007/s44163-025-00362-1

Embracing NVM: Optimizing $B^𝜖$-tree structures and data compression in storage engines.

Karim, S., Wünsche, F., Broneske, D., Kuhn, M., & Saake, G. (2025).
Embracing NVM: Optimizing $B^𝜖$-tree structures and data compression in storage engines. In Binnig, C. et al. (Hrsg.), Datenbanksysteme für Business, Technologie und Web - Workshopband (BTW 2025) (S. 329-333). Bonn: Gesellschaft für Informatik. https://doi.org/10.18420/BTW2025-137

Publishing fine-grained standardized metadata – Lessons learned from three research data centers.

Wenzig, K., Daniel, A., Hansen, D., Koberg, T., & Tudose, M. (2025).
Publishing fine-grained standardized metadata – Lessons learned from three research data centers. (Working Paper 12 I 2025). Berlin: Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD).

A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology.

Abbas, M. N., Broneske, D., & Saake, G. (2025).
A multi-objective evolutionary algorithm for detecting protein complexes in PPI networks using gene ontology. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-01667-y

Studienabbruch als Ausdruck problematischer Passungsverhältnisse im universitären Informatikstudium.

Schneider, H. (2025).
Studienabbruch als Ausdruck problematischer Passungsverhältnisse im universitären Informatikstudium. In H. Bremer & A. Lange-Vester (Hrsg.), Soziale Milieus und Habitus im Feld der Bildung (S. 107-122). Weinheim: Beltz Juventa.

Daten sicher teilen - Landkarte der Möglichkeiten.

Buck, D., Hoffstätter, U., Beck, K., Siegers, P., Linne, M., & Schlücker, F. (2025).
Workshop Daten sicher teilen - Landkarte der Möglichkeiten.

Datenschutzrechtliche Anforderungen bei Online-Umfragen.

Buck, D., Herrenbrück, R., Jacob, K., Lukowski, F., Schneider, J., Thaut, A., & Verbund Forschungsdaten Bildung (2025).
Datenschutzrechtliche Anforderungen bei Online-Umfragen. Frankfurt/Main: DIPF, Leibniz-Institut für Bildungsforschung und Bildungsinformation. https://doi.org/10.25656/01:33518
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