Publications

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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.

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.

Validation of the Astro dataset clustering solutions with external data.

Donner, P. (2020).
Validation of the Astro dataset clustering solutions with external data. Scientometrics, 126, 1619–1645. 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.

Gizasks: What Is the Biggest Scientific Fraud of the Past 50 Years?

Hesselmann, F. (23. November 2020).
Gizasks: What Is the Biggest Scientific Fraud of the Past 50 Years [Blogbeitrag]. Abgerufen von https://gizmodo.com/what-is-the-biggest-scientific-fraud-of-the-past-50-yea-1845737669

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

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

The 'Matters' of Science Diplomacy: Transversal Analysis of the S4D4C Case Studies.

Young, M., Rungius, C., Aukes, E., Melchor, L., Dall, E., Černovská, E., ... & Moreno, A. E. (2020).
The 'Matters' of Science Diplomacy: Transversal Analysis of the S4D4C Case Studies. S4D4C. Prag, Berlin, Madrid, Twente, Paris, Wien: Selbstverlag. https://doi.org/10.5281/zenodo.4041041

Wissenschaft: Zwischen Genie und Kollektiv.

Hornbostel, S., & Albrecht, N. (2020).
Wissenschaft: Zwischen Genie und Kollektiv. In Köhne, J. B. (Hrsg.), Exzellenz, Brillanz, Genie. Historie und Aktualität erfolgreicher Wissensfiguren. Berlin: Neofelis Verlag.

Contact

Clemens Blümel
Clemens Blümel Acting Head +49 30 2064177-31
Stephan Stahlschmidt
Dr. Stephan Stahlschmidt Acting Head +49 30 2064177-18
Peter van den Besselaar
Prof. Dr. Peter van den Besselaar Acting Head +49 30 2064177-0
Nikolai Schmarbeck
Nikolai Schmarbeck Assistant +49 30 2064177-11

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