Publikationen

Leider konnte für diese Suchkombination kein Ergebnis gefunden werden

Manual & Documentation of Doctoral Degree and Career Dataset (DDC) – first version.

Jakob, T., Eric, I., Asgeir, S., Thomas, F., Jeroen, v. H., ... & Daniel, W.-S. (2021).
Manual & Documentation of Doctoral Degree and Career Dataset (DDC) – first version. Hannover: Zenodo. http://doi.org/10.5281/zenodo.4446431

Die Exzellenzinitiative: Bestandsaufnahme großer Erwartungen.

Möller, T., & Hornbostel, S. (2020).
Die Exzellenzinitiative: Bestandsaufnahme großer Erwartungen. Handbuch Qualität in Studium, Lehre und Forschung (74), 1-22.
Abstract

Die Exzellenzinitiative war das am meisten beachtete Forschungsprogramm der letzten Jahrzehnte. Zwischen 2006 bis 2017 flossen 4,6 Milliarden Euro in die drei Förderlinien Graduiertenschulen, Exzellenzcluster und universitäre Zukunftskonzepte und somit in das deutsche Hochschulsystem. Die Programmziele waren ebenso hoch wie die Erwartungen, aber auch Befürchtungen. Doch was hat die Exzellenzinitiative am Ende bewirkt? Hat sie internationale Spitzenforschung hervorgebracht, den wissenschaftlichen Nachwuchs gefördert oder das deutsche Universitätssystem gespalten?

The Competent Bibliometrician–A Guided Tour through the Scholarly and Practitioner Literature.

Petersohn, S. (2020).
The Competent Bibliometrician–A Guided Tour through the Scholarly and Practitioner Literature. In Ball, R. (Hrsg.), Handbook Bibliometrics (S. 485-496). Berlin, Boston: De Gruyter Saur.
Abstract

Repeated calls for responsible research metrics and professional codes of conduct in evaluative bibliometrics highlight the need to investigate which qualifications and competencies enable a proficient application of bibliometric methods and indicators. Taking competence research as a point of departure, this chapter delineates salient dimensions of professional competence in bibliometric research evaluation by reviewing a selected subset of the literature. The reviewed literature focuses on handbooks, monographs, and scholarly and practitioner articles that introduce theory and methodology of bibliometrics and showcase applications to scholars and practitioners mainly outside of the scientometric research community.

Research Ethics, Open Science and CRIS.

Schöpfel, J., Azeroual, O., & Jungbauer-Gans, M. (2020).
Research Ethics, Open Science and CRIS. MDPI Publications, 2020(8), 51. https://doi.org/10.3390/publications8040051

Identifying gender bias and its causes and effects.

van den Besselaar, P., Mom, C., Cruz-Castro, L., Sanz-Menéndez, L., Möller, T., ... & Husu, L. (2020).
Identifying gender bias and its causes and effects. Amsterdam: TMC.

Barometer für die Wissenschaft. Ergebnisse der Wissenschaftsbefragung 2019/20.

Ambrasat, J., & Heger, C. (Hrsg.). (2020).
Barometer für die Wissenschaft. Ergebnisse der Wissenschaftsbefragung 2019/20. Berlin: DZHW.

Cycles of Invisibility: The Limits of Transparency in Dealing with Scientific Misconduct.

Hesselmann, F., & Reinhart, M. (2020).
Cycles of Invisibility: The Limits of Transparency in Dealing with Scientific Misconduct. Social Studies of Science. https://doi.org/10.1177/0306312720975201
Abstract

Sanctions for plagiarism, falsification and fabrication in research are primarily symbolic. This paper investigates sanctions for scientific misconduct and their preceding investigation processes as visible and legitimate symbols. Using three different data sources (retraction notices, expert interviews, and a survey of scientists), we show that sanctions for scientific misconduct operate within a cycle of visibility, in which sanctions are highly visible, while investigation and decision-making procedures remain mostly invisible. This corresponds to high levels of acceptance of sanctions in the scientific community, but a low acceptance of the respective authorities. Such a punitiveness in turn exacerbates confidentiality concerns, so that

Validation of the Astro dataset clustering solutions with external data.

Donner, P. (2020).
Validation of the Astro dataset clustering solutions with external data. Scientometrics, in print. https://doi.org/10.1007/s11192-020-03780-3
Abstract

We conduct an independent cluster validation study on published clustering solutions of a research testbed corpus, the Astro dataset of publication records from astronomy and astrophysics. We extend the dataset by collecting external validation data serving as proxies for the latent structure of the corpus. Specifically, we collect (1) grant funding information related to the publications, (2) data on topical special issues, (3) on specific journals’ internal topic classifications and (4) usage data from the main online bibliographic database of the discipline. The latter three types of data are newly introduced for the purpose of clustering validation and the rationale for using them for this task is set out.

Comparison of Web of Science, Scopus and Dimensions databases.

Stahlschmidt, S., & Stephen, D. (2020).
Comparison of Web of Science, Scopus and Dimensions databases. Report to Kompetenzzentrum Bibliometrie. Hannover: DZHW.

Current research information systems and institutional repositories: From data ingestion to convergence and merger.

Schöpfel, J., & Azeroual, O. (2020).
Current research information systems and institutional repositories: From data ingestion to convergence and merger. In Baker, D., & Ellis, L. (Hrsg.), Future Directions in Digital Information, 1st Edition: Predictions, Practice, Participation, 11/2020, (S. 19-37). Sawston, Cambridge: Chandos Publishing. https://doi.org/10.1016/B978-0-12-822144-0.00002-1

Zur Arbeitssituation des wissenschaftlichen Mittelbaus in Deutschland.

Ambrasat, J. (2020).
Zur Arbeitssituation des wissenschaftlichen Mittelbaus in Deutschland. In Holderberg, P., & Seipel, C. (Hrsg.), Der wissenschaftliche Mittelbau – Arbeit, Hochschule, Demokratie. [preprint].

Promotionsnoten – Unter „summa“ gehtʼs nicht?

Adrian, D. (2020).
Promotionsnoten – Unter „summa“ gehtʼs nicht? In: DUZ Verlags- und Medienhaus GmbH (Hrsg.): OpenD, Berlin: DUZ Verlags- und Medienhaus GmbH.

Treatment of Bad Big Data in Research Data Management (RDM) Systems.

Azeroual, O. (2020).
Treatment of Bad Big Data in Research Data Management (RDM) Systems. Big Data and Cognitive Computing, 4/2020, 29. Basel, Switzerland: MDPI. https://doi.org/10.3390/bdcc4040029

The lottery in Babylon—On the role of chance in scientific success.

Reinhart, M., & Schendzielorz, C. (2020).
The lottery in Babylon—On the role of chance in scientific success. Journal of Responsible Innovation. https://doi.org/10.1080/23299460.2020.1806429

Romancing Science for Global Solutions: On Narratives and Interpretative Schemas of Science Diplomacy.

Rungius, C., & Flink, T. (2020).
Romancing Science for Global Solutions: On Narratives and Interpretative Schemas of Science Diplomacy. Humanities and Social Sciences Communications, 7/1, 1-10. https://doi.org/10.1057/s41599-020-00585-w

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Sophie Biesenbender (geb. Schmitt)
Dr. Sophie Biesenbender (geb. Schmitt) Kommissar. Abteilungsleitung 030 2064177-37
Clemens Blümel
Clemens Blümel Kommissar. Abteilungsleitung 030 2064177-31
Torger Möller
Dr. Torger Möller Kommissar. Abteilungsleitung 030 2064177-30
Stephan Stahlschmidt
Dr. Stephan Stahlschmidt Kommissar. Abteilungsleitung 030 2064177-18
Manuela Rosati
Manuela Rosati Assistenz 030 2064177-0

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