Publications
252 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-210 211-225 226-240 241-252
Nacaps 2020. Daten- und Methodenbericht zur Datenpaketversion 1.0.0 der National Academics Panel Study 2020 (1.-2. Befragungswelle).
Nacaps 2020. Daten- und Methodenbericht zur Datenpaketversion 1.0.0 der National Academics Panel Study 2020 (1.-2. Befragungswelle). Hannover: DZHW. Abstract
Nacaps, the National Academics Panel Study, is a longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF) until 2024. The project aims at providing nationwide cross-sectional and longitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. [...] Full Abstract: https://doi.org/10.21249/DZHW:nac2020:1.0.0 |
The imitation game: Evaluating persona-driven LLM response behavior in web surveys.Shahania, S., Spiliopoulou, M., & Broneske, D. (2026).The imitation game: Evaluating persona-driven LLM response behavior in web surveys. In Wong, R. et al. (Hrsg.), Advances in Knowledge Discovery and Data Mining (S. 474-486). Singapore: Springer. https://doi.org/10.1007/978-981-92-1468-6_33 |
GraphAware: Interpretable machine learning on graphs.Walke, D., Steinbach, D., Schönhuth, A., Saake, G., Broneske, D., & Heyer, R. (2026).GraphAware: Interpretable machine learning on graphs. Discover Artificial Intelligence(1), 1-345. https://doi.org/10.1007/s44163-026-01028-2 |
Digitalization of Scholarly Communication: Discourse and Practices, Measurements and Identity Formations (DigiScholComm). Daten- und Methodenbericht zum Datenpaket der qualitativen Interviewdaten des DZHW-Teilprojekts Digital Visibilities in Appointment Procedures (DigiVisib).Köchling, S., Gerchen, A., Vogler, C., & İkiz-Akıncı, D. (2026).Digitalization of Scholarly Communication: Discourse and Practices, Measurements and Identity Formations (DigiScholComm). Daten- und Methodenbericht zum Datenpaket der qualitativen Interviewdaten des DZHW-Teilprojekts Digital Visibilities in Appointment Procedures (DigiVisib). 2026. Hannover: DZHW. |
Publishing fine-grained standardized metadata – Lessons learned from three research data centers.Wenzig, K., Daniel, A., Hansen, D., Koberg, T., & Tudose, M. (2026).Publishing fine-grained standardized metadata – Lessons learned from three research data centers. Data Science Journal. https://doi.org/10.5334/dsj-2026-013 |
Transcribing and coding voice answers obtained in web surveys: Comparing three leading automatic speech recognition tools.Revilla, M., Ochoa, C., Höhne, J. K., & Couper, M. P. (2026).Transcribing and coding voice answers obtained in web surveys: Comparing three leading automatic speech recognition tools. Journal of Survey Statistics and Methodology. https://doi.org/10.1093/jssam/smaf028 |
Introduction to the special issue “The datafication of communication – New methodological approaches and challenges”.Niemann-Lenz, J., Schatto-Eckrodt, T., Domahidi, E., & Mahrt, M. (2026).Introduction to the special issue “The datafication of communication – New methodological approaches and challenges”. Medien- & Kommunikationswissenschaft, 74(1), 3-7. https://doi.org/10.5771/1615-634X-2026-1-3 |
Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2026.Grützmacher, J., & Meier, D. H. (2026).Bildung und Qualifikation als Grundlage der technologischen Leistungsfähigkeit Deutschlands 2026. Studie zum deutschen Innovationssystem | Nr. 1-2026. Berlin: Expertenkommission Forschung und Innovation (EFI). |
Forschungsdatenmanagement und Data Sharing qualitativer Daten – Eine Handreichung.Mozygemba, K., Gebel, T., Hanekop, H., Köchling, S., Lösch, T., Reineke, S., & Schierbaum, K. (2026).Forschungsdatenmanagement und Data Sharing qualitativer Daten – Eine Handreichung. Bremen: KonsortSWD Working Paper. https://doi.org/10.26092/elib/4334 |
Identifying bots through LLM-generated text in open narrative responses: A proof-of-concept study.Claaßen, J., Höhne, J. K., Bach, R., & Haensch, A.-C. (2026).Identifying bots through LLM-generated text in open narrative responses: A proof-of-concept study. Social Science Computer Review (online first). https://doi.org/10.1177/08944393251408022 |
MorphCraft: Morphology-aware transformers for Armenian and Greek.Avetisyan, H., Karasavva, C., & Broneske, D. (2026).MorphCraft: Morphology-aware transformers for Armenian and Greek. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), IEEE Xplore (S. 1-6). Jacksonville, Florida, USA: IEEE Xplore. |
Dealing with online abuse on TikTok: experiences of german #politiktok creators.Niemann-Lenz, J., & Pater, M. (2025).Dealing with online abuse on TikTok: experiences of german #politiktok creators. MedienJournal, 49(3), 61-83. https://doi.org/10.60764/1025-9473.2025.03.4 Abstract
Online abuse in the form of online hostility and hate speech has become an increasing concern in digital publics, particularly affecting individuals engaging in political discourse. While research has extensively examined abuse on text-based platforms, little is known about how this phenomenon manifests on TikTok, a platform characterized by short-form videos, algorithm-driven virality, and participatory affordances. This study investigates the conditions and effects of online abuse on TikTok, focusing on German #PolitTikTok creators, who produce political content. Through, 21 semi-structured interviews, we explore (RQ1) how TikTok shapes online abuse, (RQ2) which factors make creators targets of online abuse, and ... |
Enhancing data FAIRness with persistent identifiers for variables - Conceptualisation, requirements, challenges, and implementation.Daniel, A. (2025).Enhancing data FAIRness with persistent identifiers for variables - Conceptualisation, requirements, challenges, and implementation. Hannover: DZHW. https://doi.org/10.5281/zenodo.17984891 Abstract
This report presents an overview of the benefits of implementing variable-level PIDs with regard to the FAIRness of data and offers a practical checklist outlining the requirements for service providers and the challenges faced by infrastructures aiming to adopt variable-level PIDs. In addition, it provides insights into the technical implementation of the PID test environment. |
Nacaps 2018.
Nacaps 2018. Daten- und Methodenbericht zur Datenpaketversion 3.0.0 der National Academics Panel Study 2018 (1.-6. Befragungswelle). Hannover: DZHW. https://doi.org/10.21249/DZHW:nac2018-dmr-de:3.0.0 Abstract
Nacaps, the National Academics Panel Study, is a new longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF). The project aims at providing nationwide cross-sectional and longitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. Nacaps 2018 is the first cohort in this series of studies. In 2019, all doctoral candidates registered at 53 higher education institutions entitled to award PhDs/doctorates [...] Full Abstract: https://doi.org/10.21249/DZHW:nac2018:3.0.0 |
Nacaps 2018. Data and methods report for data package version 3.0.0 of the National Academic Panel Survey (1st-6th wave).
Nacaps 2018. Data and methods report for data package version 3.0.0 of the National Academic Panel Survey (1st-6th wave). Hannover: DZHW. https://doi.org/10.21249/DZHW:nac2018-dmr-en:3.0.0 Abstract
Nacaps, the National Academics Panel Study, is a new longitudinal study of doctoral candidates and doctorate holders in Germany funded by the Federal Ministry of Education and Research (BMBF). The project aims at providing nationwide cross-sectional and longitudinal data on doctoral candidates and doctorate holders in Germany regarding their study conditions as well as their career trajectories within and outside of academia. The Nacaps study series apply a panel design to multiple cohorts. Nacaps 2018 is the first cohort in this series of studies. In 2019, all doctoral candidates registered at 53 higher education institutions entitled to award PhDs/doctorates in Germany [...] Full Abstract: https://doi.org/10.21249/DZHW:nac2018:3.0.0 |
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