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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Exploiting views for collaborative research data management of structured data.

Broneske, D., Wolff, I., Köppen, V., & Schäler, M. (2022).
Exploiting views for collaborative research data management of structured data. In Y.-H. Tseng, M. Katsurai, & H. N. Nguyen (Hrsg.), ICADL 2022: From born-physical to born-virtual: Augmenting intelligence in digital libraries. (S. 360-376). Cham: Springer (online first). https://doi.org/10.1007/978-3-031-21756-2_28

Austausch zu Anwendung & Darstellung des KDSF mit der PURE Nutzer*innengruppe.

Petersohn, S., & Both, G. (2022).
Workshop Austausch zu Anwendung & Darstellung des KDSF mit der PURE Nutzer*innengruppe Jahrestreffen PURE Nutzer*innengruppe, PURE Nutzer*innengruppe, virtuell.

The effects of response burden – collecting life history data in a self-administered mixed-device survey.

Carstensen, J., Lang, S., & Cordua, F. (2022).
The effects of response burden – collecting life history data in a self-administered mixed-device survey. Journal of Official Statistics, 38(4), 1069-1095. https://doi.org/10.2478/jos-2022-0046
Abstract

Collecting life history data is highly demanding and therefore prone to error since respondentsmust retrieve and provide extensive complex information. Research has shown that responseburden is an important factor influencing data quality. We examine whether increases indifferent measures of response burden in a (mixed-device) online survey lead to adverseeffects on the data quality and whether these effects vary by the type of device used (mobileversus non-mobile).

Ausstattungs-, Kosten- und Leistungsvergleich Fachhochschulen 2021. Grunddaten und Kennzahlen der Hochschule Harz.

Sanders, S. (2022).
Ausstattungs-, Kosten- und Leistungsvergleich Fachhochschulen 2021. Grunddaten und Kennzahlen der Hochschule Harz. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).

10. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1982.

Middendorff, E., & Wallis, M. (2022).
10. Sozialerhebung. Daten- und Methodenbericht zur Studierendenbefragung 1982. Hannover: FDZ-DZHW.
Abstract

The Social Survey is a series of surveys on the economic and social situation of students in Germany that has been in existence since 1951. Every three to four years, a cross-section of students is surveyed on aspects of access to higher education, structural features of study, social and economic situation, including income and cost of living, employment, housing situation, as well as socio-demographic characteristics, partnership status and parenthood. The data package includes the data from the 10th Social Survey (1982), which was limited to German students in the old Länder. An additional questionnaire included Questions about the psychosocial situation. https://doi.org/10.21249/DZHW:ssy10:1.0.0

Methodenbericht zur Befragung von wissenschaftlichen und administrativen Beschäftigten an medizinischen Fakultäten im Projekt QuaMedFo (Qualitätsmaße zur Evaluierung medizinischer Forschung).

Biesenbender, S., Hartstein, J., Herrmann-Lingen, C., Kratzenberg, A., & Traylor, C. (2022).
Methodenbericht zur Befragung von wissenschaftlichen und administrativen Beschäftigten an medizinischen Fakultäten im Projekt QuaMedFo (Qualitätsmaße zur Evaluierung medizinischer Forschung). Hannover: DZHW. https://doi.org/10.21249/DZHW:qmf2021-dmr:1.0.0
Abstract

The survey of scientific and administrative employees at medical faculties in Germany is part of module 7 „Praktikabilität, Akzeptanz und Verhaltenswirksamkeit“ in the collaborative project „Qualitätsmaße zur Evaluierung medizinischer Forschung“ (QuaMedFo). It was planned and conducted in close cooperation of the German Center for Higher Education Research and Science Studies (DZHW) and the Universitätsmedizin Göttingen (UMG) in the first half of 2021. Data preparation was completed in the second half of 2021. https://doi.org/10.21249/DZHW:qmf2021:1.0.0

" Weiterentwicklung des Nacaps-Datenportals " .

Azeroual, O., & Wegner, A. (2022).
Workshop "Weiterentwicklung des Nacaps-Datenportals" im Rahmen des Nacaps-Workshops für die Partnerhochschulen, DZHW, Hannover.

Competency requirements in research information management and reporting: evidence from a national survey in Germany.

Schelske, S., & Thiedig, C. (2022).
Competency requirements in research information management and reporting: evidence from a national survey in Germany. Procedia Computer Science (211), 141-150. https://doi.org/10.1016/j.procs.2022.10.186

Ausstattungs-, Kosten- und Leistungsvergleich Fachhochschulen 2021. Grunddatenbericht Hochschule Flensburg.

Winkelmann, G. (2022).
Ausstattungs-, Kosten- und Leistungsvergleich Fachhochschulen 2021. Grunddatenbericht Hochschule Flensburg. Hannover: DZHW (nicht zur Veröffentlichung vorgesehen).

Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS.

Azeroual, O., Schöpfel, J., Ivanovic, D., & Nikiforova, A. (2022).
Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 3-16). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.171

UCRP-miner: Mining patterns that matter.

Darrab, S., Broneske, D., & Saake, G. (2022).
UCRP-miner: Mining patterns that matter. In IEEE Institute of Electrical and Electronic Engineers (Hrsg.), Proceedings of the 5th International Conference on Data Science and Information Technology (DSIT) (S. 1-7). New York, United States: IEEE. https://doi.org/10.1109/DSIT55514.2022.9943880

Research Information Systems and Ethics relating to Open Science.

Schöpfel, J., Azeroual, O., & de Castro, P. (2022).
Research Information Systems and Ethics relating to Open Science. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 36-46). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.174

Tell me why it’s fake: Developing an explainable user interface for a fake news detection system.

Shahania, S., Purificato, E., & William De Luca, E. (2022).
Tell me why it’s fake: Developing an explainable user interface for a fake news detection system. In CEUR Workshop Proceedings (Hrsg.), Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence (XAI.it 2022). Udine, Italy: CEUR.
Abstract

In this paper, we present the design and development of an explainable user interface for a fake news detection system. The problem of distinguishing real from fake articles gained a lot of popularity in the last few years, mainly due to the soaring diffusion of social networks and internet bots as means for propaganda and disinformation sharing. By leveraging various explainability methods, i.e. feature importance, partial dependence plots and SHAP values, we aim to show how the combination of different techniques embedded in an interactive user interface can lead to enhance trust in a detection system for a non-expert user, such as a fact-checker or a content manager. Through several examples, we describe all the explainability component

Legal aspects and data protection in relation to the CRIS system.

Zendulková, D., & Azeroual, O. (2022).
Legal aspects and data protection in relation to the CRIS system. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 17-27). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.172

Drawbacks of Normalization by Percentile Ranks in Citation Impact Studies.

Donner, P. (2022).
Drawbacks of Normalization by Percentile Ranks in Citation Impact Studies. Journal of Library and Information Studies, 20(2), 75-93.
Abstract

This paper discusses drawbacks of the percentile rank method for citation impact normalization which have hitherto been neglected in the bibliometrics literature. The transformation of citation counts to percentile ranks changes ratio scale data into ordinal scale data, for which the notions of the ratio between two values and of the magnitude of a difference between two values are not defined – a substantial loss of information. This distorts citation data particularly severely because the differences between citation counts adjacent in order in publication sets are greater for more highly cited publications and because highly cited publications are more scarce than non-highly cited ones. [...]

Contact

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