Publikationen
853 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-210 211-225 226-240 241-255 256-270 271-285 286-300 301-315 316-330 331-345 346-360 361-375 376-390 391-405 406-420 421-435 436-450 451-465 466-480 481-495 496-510 511-525 526-540 541-555 556-570 571-585 586-600 601-615 616-630 631-645 646-660 661-675 676-690 691-705 706-720 721-735 736-750 751-765 766-780 781-795 796-810 811-825 826-840 841-853
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. Abstract
Grant selection and decision-making generally take place in panels. Therefore, the main focus of the project is to measure the level of gender bias at the panel level, and to explain the differences in gender bias using characteristics of the panels and of the (organizational) context of the panels. A second source of gender bias addressed in the project is the application process. The project also investigates the factors influencing the decision to apply for research grants, and the possible gender differences emerging from that. Finally, the question is addressed whether possible bias in grant allocation translates into gender bias in the subsequent academic career. |
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.
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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 |
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 |
Größe als Erfolgsgarant? Zur Bedeutung der Organisationstruktur für die Einwerbung von Drittmitteln der Deutschen Forschungsgemeinschaft.Oberschelp, A., & Stahlschmidt, S. (2020).Größe als Erfolgsgarant? Zur Bedeutung der Organisationstruktur für die Einwerbung von Drittmitteln der Deutschen Forschungsgemeinschaft. Qualität in der Wissenschaft (QiW), 14(4), 99-105. |
Science Blogs as Critique – Building Public Identities in the Field of Translational Research.Hendriks, B., & Reinhart, M. (2020).Science Blogs as Critique – Building Public Identities in the Field of Translational Research. Science & Technology Studies, 33, 19-38. https://doi.org/10.23987/sts.75153 |
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