Publications

DZHW publishes its research findings in renowned academic journals, at national and international conferences and in its own publishing formats. An overview of publications and lectures produced by DZHW staff can be seen below. You can open individual publication formats separately using the menu in the left-hand column.

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Bildung und sozialer Zusammenhalt. „Aktionsrat Bildung. (2024). vbw – Vereinigung der Bayerischen Wirtschaft“.

Anders, Y., Hannover, B., Jungbauer-Gans, M., Lenzen, D., McElvany, N., ... & Wößmann, L. (2024).
Bildung und sozialer Zusammenhalt. „Aktionsrat Bildung. (2024). vbw – Vereinigung der Bayerischen Wirtschaft“.: Waxmann Verlag (ISBN: 978-3-8309-4870-4).

prof*panel: The first longitudinal survey study on university professors in Germany.

Begemann, C., & Kizilirmak, J. M. (2024).
prof*panel: The first longitudinal survey study on university professors in Germany. Hannover: DZHW.
Abstract

This flyer on the prof*panel, the DZHW professors survey, provides an overview of the possible paths to a full professorship (tenured). This is supplemented by insights into the educational background depending on the type of professorship in our panel.

Langzeitarchivierung von Forschungsdaten.

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

Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen HafenCity Universität (HCU) Hamburg.

Sanders, S. (2024).
Ausstattungs-, Kosten- und Leistungsvergleich Universitäten 2022. Grunddaten und Kennzahlen HafenCity Universität (HCU) Hamburg. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).

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

Austausch mit Vertreter*innen aus Wissenschaftsministerien zum Thema Forschungsinformationen und -berichterstattung.

Kommission für Forschungsinformationen in Deutschland, Petersohn, S., & Biesenbender, S. (2024).
Workshop Austausch mit Vertreter*innen aus Wissenschaftsministerien zum Thema Forschungsinformationen und -berichterstattung, virtuell.

Is there gender bias in awarding cum laude for the PhD thesis?

van den Besselaar, P., & Mom, C. (2024).
Is there gender bias in awarding cum laude for the PhD thesis? Scientometrics, 1-23 (online first). https://doi.org/10.1007/s11192-024-04985-6
Abstract

In the Dutch academic system, PhD theses can be awarded with cum laude and at most 5% of all PhD graduates receive this selective distinction for their thesis. In this paper, we investigate whether there is gender bias in awarding cum laude, using data from one of the major Dutch research universities. A main result is that the set of PhD theses receiving cum laude on average do not have a higher quality than the best theses not getting cum laude. A second main result is that, after controlling for the quality of the PhD theses, women still have a substantially lower probability to receive cum laude. These results strongly suggest that the distribution of awards suffers from gender bias.

Information intervention on long-term earnings prospects and the gender gap in major choice.

Peter, F., Schober, P., & Spiess, C. K. (2024).
Information intervention on long-term earnings prospects and the gender gap in major choice. European Sociological Review, 40(2), 258-275. https://doi.org/10.1093/esr/jcad055

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.

Investigating Students’ Academic Self-Concepts and Persistence in STEM: How Do Gender Differences Relate to Female Representation?

Fiedler, I. (2024).
Investigating Students’ Academic Self-Concepts and Persistence in STEM: How Do Gender Differences Relate to Female Representation? International Journal of Gender, Science and Technology, 16(1), 1-17.

Informationsveranstaltung zum KDSF-Standard für Forschungsinformationen in Deutschland.

Geschäftsstelle der KFiD, & Projektgruppe FIS Thüringer Hochschulen (2024).
Workshop Informationsveranstaltung zum KDSF-Standard für Forschungsinformationen in Deutschland.

Internal factors promoting research collaboration problems: an input‑process‑output analysis.

Hückstädt, M., & Leisten, L. M. (2024).
Internal factors promoting research collaboration problems: an input‑process‑output analysis. Scientometrics. https://doi.org/10.1007/s11192-024-04957-w

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

„Diversität“ in Befragungen des Deutschen Zentrums für Hochschul- und Wissenschaftsforschung.

Gottburgsen, A., & Jungbauer-Gans, M. (2024).
„Diversität“ in Befragungen des Deutschen Zentrums für Hochschul- und Wissenschaftsforschung. (DZHW Brief 01|2024). Hannover: DZHW. https://doi.org/10.34878/2024.01.dzhw_brief

Contact

Anja Gottburgsen
Dr. Anja Gottburgsen +49 511 450670-912