Publications

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Nacaps 2018.

Briedis, K., Lietz, A., Ruß, U., Schwabe, U., Seifert, M., ... & Hoffstätter, U. (2024).
Nacaps 2018. Daten- und Methodenbericht zur National Academics Panel Study 2018 (1.-4. Befragungswelle – Promovierende). Hannover: DZHW. https://doi.org/10.21249/DZHW:nac2018:2.0.0
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 [...] Full Abstract: https://doi.org/10.21249/DZHW:nac2018:2.0.0

Langzeitarchivierung von Forschungsdaten.

Hoffstätter, U., & Weber, A. (2024).
Langzeitarchivierung von Forschungsdaten. Hannover: DZHW. https://doi.org/10.5281/zenodo.10418834

A pilot study for " Linked Open Research Data " (LORDpilot): a LOD-based Concept Registry for social science research data.

Daniel, A., Goebel, J., Kern, D., Klein, D., May, A., ... & Zapilko, B. (2024).
A pilot study for "Linked Open Research Data" (LORDpilot): a LOD-based Concept Registry for social science research data. Joint final report to the Project (public part). Hannover: DZHW.
Abstract

Reusing research data is an important part of research practice in the social and economic sciences. To find suitable data, researchers need functional search options. However, a comprehensive search for data is hampered by inconsistent or missing semantic indexing because different survey programs use their own terminology for documentation. In most cases, there is no link between the measured theoretical concepts and the variables. From the user's perspective, the fragmentation of data documentation hampers data retrieval and thus limits the research potential of existing data. The challenge, therefore, lies in the concept-oriented indexing of data. [...] Full Abstract: https://zenodo.org/records/11047523

Migration als Gesellschaftsaufgabe. Teilhabe- und Repräsentationsverhältnisse aus einer postmigrantischen Perspektive.

İkiz-Akıncı, D., & Foroutan, N. (2024).
Migration als Gesellschaftsaufgabe. Teilhabe- und Repräsentationsverhältnisse aus einer postmigrantischen Perspektive. In S. Bostancı & E. Ilgün-Birhimeoğlu (Hrsg.), Elementarpädagogik in der postmigrantischen Gesellschaft. Theoretische und empirische Zugänge zu einer rassismuskritischen Pädagogik (S. 12-32). Weinheim: Beltz Juventa.

Die Studierendenbefragung in Deutschland 2021. Daten- und Methodenbericht zur Erhebung.

Becker, K., Schwabe, U., Völk, D., Koopmann, J., Gerdes, F., ... & Klein, D. (2024).
Die Studierendenbefragung in Deutschland 2021. Daten- und Methodenbericht zur Erhebung. Hannover: DZHW.
Abstract

"The Student Survey in Germany" (2021) is a newly designed study that integrates three previously separate student surveys (Beuße et al., 2022): the Social Survey (Middendorff et al., 2017; Middendorff & Wallis, 2023), the Student Survey (Multrus et al., 2017; Multrus, 2021) and the survey "best - Studying with impairments" (Poskowsky et al., 2018; Unger et al., 2012). The study is designed as a cross-sectional survey with a long-term character. The new, integrated student survey thus continues the long tradition of the Social Survey and the Student Survey as important cross-sectional long-term observation studies for describing and analysing higher education and the student [...] Full Abstract: https://doi.org/10.21249/DZHW:sid2021:1.0.0

A case study on the development of the German Corona-Warn-App.

Fawaz Enaya, M., Klingbeil, T., Krüger, J., Broneske, D., Feinbube, F., & Saake, G. (2024).
A case study on the development of the German Corona-Warn-App. Journal of Systems and Software. https://doi.org/10.1016/j.jss.2024.112020

VORAUS: Etablierte Formate der Qualitätssicherung weiterentwickeln: Auf welche VORbehalte und Einverständnisse trifft eine teil-randomisierte AUSwahl von Forschungsprojekten im wissenschaftlichen Feld?

Johannsen, J., Philipps, A., Barlösius, E., & İkiz-Akıncı, D. (2024).
VORAUS: Etablierte Formate der Qualitätssicherung weiterentwickeln: Auf welche VORbehalte und Einverständnisse trifft eine teil-randomisierte AUSwahl von Forschungsprojekten im wissenschaftlichen Feld? Daten- und Methodenbericht zum Datenpaket der qualitativen Teilstudie des Projekts VORAUS. Hannover: DZHW. https://doi.org/10.21249/DZHW:vorausquali:1.0.0
Abstract

he project "VORAUS: Further developing established quality assurance formats: Which VORreservations and consensuses does a partially randomised SELECTION of research projects encounter in the scientific field?" was funded by the BMBF from April 2019 to March 2022. The study investigated reservations and consensus in the scientific field regarding partial randomisation. On this basis, it was clarified what is currently considered appropriate in science. Prior to a quantitative survey on the topic, the data from which is also available as a data package (DOI: https://doi.org/10.21249/DZHW:vorausquanti:1.0.0), problem-centred interviews were conducted with [...] Full Abstract: https://doi.org/10.21249/DZHW:vorausquali:1.0.0

Knowledge distillation for quantized vehicle sensor data.

Vox, C., Niemann, O., Broneske, D., Piewek, J., Sass, A. U., & Saake, G. (2024).
Knowledge distillation for quantized vehicle sensor data. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 International Conference on Machine Learning and Applications (ICMLA) (S. 908-915). Jacksonville, Florida, USA: IEEE. https://doi.org/10.1109/ICMLA58977.2023.00134

A domain specific students' assistance system for the provision of instructional feedback.

Obionwu, C. V., Tiwari, T., Chovatta Valappil, B. B., Raikar, N., Walia, D. S., ... & Saake, G. (2024).
A domain specific students' assistance system for the provision of instructional feedback. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), 2023 International Conference on Machine Learning and Applications (ICMLA) (S. 2065-2070). Jacksonville, Florida, USA: IEEE. https://doi.org/10.1109/ICMLA58977.2023.00312

Enforcing right to be forgotten in cloud-based data lakes.

Bhardwaj, P., Darrab, S., Broneske, D., Klose, I., & Saake, G. (2024).
Enforcing right to be forgotten in cloud-based data lakes. In Arai, K. (Hrsg.), Advances in Information and Communication (FICC 2024) (S. 220-234). Cham: Springer. https://doi.org/10.1007/978-3-031-53963-3_16

An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls.

Abbas, M. N., Attea, B. A., Broneske, D., & Saake, G. (2024).
An evolutionary algorithm with heuristic operator for detecting protein complexes in protein interaction networks with negative controls. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3367746
Abstract

Computational biology research faces a formidable challenge in the detection of complexes within protein-protein interaction (PPI) networks, critical for unraveling cellular processes, predicting functions of uncharacterized proteins, and diagnosing diseases. While evolutionary algorithms (EAs), particularly state-of-the-art methods, often partition PPI networks based on graph properties or biological semantics, their resilience to noisy or missing interactions remains an underexplored territory. In this paper, we propose a groundbreaking heuristic operator, termed "strong neighbor-node migration", specifically designed to elevate solution quality [...] Full Abstract: https://ieeexplore.ieee.org/document/10440281

Workshopdokumentation: Langzeitarchivierung (LZA) in Forschungsdatenzentren (FDZ).

Hoffstätter, U., & Beck, K. (2024).
Workshopdokumentation: Langzeitarchivierung (LZA) in Forschungsdatenzentren (FDZ). KonsortSWD Working Paper Nr. 8/2024. Konsortium für die Sozial-, Verhaltens-, Bildungs- und Wirtschaftswissenschaften (KonsortSWD). Hannover: DZHW. https://doi.org/10.5281/zenodo.10261654

Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models.

Avetisyan, H., Safikhani, P., & Broneske, D. (2024).
Framing and BERTology: A data-centric approach to integration of linguistic features into transformer-based pre-trained language models. In Arai, K. (Hrsg.), Intelligent Systems and Applications (S. 81-90). Cham: Springer. https://doi.org/10.1007/978-3-031-47718-8

Stamp—Standardized data management plan for educational research: A blueprint to improve data management across disciplines.

Netscher, S., Bongartz, E. C., Schwickerath, A. K., Braun, D., Stephan, K., & Mauer, R. (2024).
Stamp—Standardized data management plan for educational research: A blueprint to improve data management across disciplines. Data Science Journal, 23(1). https://doi.org/10.5334/dsj-2024-007

Examining final comment questions with requests for written and oral answers.

Höhne, J. K., & Claaßen, J. (2024).
Examining final comment questions with requests for written and oral answers. International Journal of Market Research (online first). https://doi.org/10.1177/14707853241229329

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