Publications
814 Übereinstimmungen gefunden / 1-15 16-30 31-45 46-60 61-75 76-90 91-105 106-120 121-135 136-150 151-165 166-180 181-195 196-210 211-225 226-240 241-255 256-270 271-285 286-300 301-315 316-330 331-345 346-360 361-375 376-390 391-405 406-420 421-435 436-450 451-465 466-480 481-495 496-510 511-525 526-540 541-555 556-570 571-585 586-600 601-615 616-630 631-645 646-660 661-675 676-690 691-705 706-720 721-735 736-750 751-765 766-780 781-795 796-810 811-814
Understanding the Societal Impact of the Social Sciences and Humanities: Remarks on Roles, Challenges, and Expectations.Fecher, B., Freia, K., Sokolovska, N., Fenton, A., Hornbostel, S., & Wagner, G. G. (2021).Understanding the Societal Impact of the Social Sciences and Humanities: Remarks on Roles, Challenges, and Expectations. Frontiers in Research Metrics and Analytics (online first). https://doi.org/10.3389/frma.2021.696804 Abstract
Science is increasingly expected to help in solving complex societal problems in collaboration with societal stakeholders. However, it is often unclear under what conditions this can happen, i.e., what kind of challenges occur when science interacts with society and what kind of quality expectations prevail. This is particularly pertinent for Social Sciences and Humanities (SSH), which are part of the object they study and whose knowledge is always subject to provisionality. Here we discuss how SSH researchers can contribute to societal problems, what challenges might occur when they interact with societal stakeholders, and what quality expectations arise in these arrangements. |
Rhetorical power in evaluations: tracing the construction of value-measurement links in debates on societal impact.Hesselmann, F., & Schendzielorz, C. (2021).Rhetorical power in evaluations: tracing the construction of value-measurement links in debates on societal impact. In Dahler-Larsen, P. (Hrsg.), A Research Agenda for Evaluation (S. 209-224). Cheltenham: Edward Elgar. |
From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers.Stahlschmidt, S., & Stephen, D. (2021).From indexation policies through citation networks to normalized citation impacts: Web of Science, Scopus, and Dimensions as varying resonance chambers. Ithaca: arXiv. |
Say my name, say my name: Academic authorship conventions between editorial policies and disciplinary practices.Hesselmann, F., Schendzielorz, C., & Sorgatz, N. (2021).Say my name, say my name: Academic authorship conventions between editorial policies and disciplinary practices. Research Evaluation (online first). https://doi.org/10.1093/reseval/rvab003 |
Impact der Gesellschaftswissenschaften – (Wie) Kann man ihn messen?Fecher, B., Sokolovska, N., Kuper, F., & Fenton, A. (02. Juni 2021).Impact der Gesellschaftswissenschaften – (Wie) Kann man ihn messen [Blogbeitrag]. Abgerufen von https://www.wissenschaftskommunikation.de/impact-der-gesellschaftswissenschaften-wie-kann-man-ihn-messen-48693/ |
Cycles of Invisibility: The Limits of Transparency in Dealing with Scientific Misconduct.Hesselmann, F., & Reinhart, M. (2021).Cycles of Invisibility: The Limits of Transparency in Dealing with Scientific Misconduct. Social Studies of Science, 51(3), 414-438. 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 |
Version 1.2 des KDSF-Standards veröffentlicht.Biesenbender, S. (25. Mai 2021).Version 1.2 des KDSF-Standards veröffentlicht [Blogbeitrag]. https://doi.org/10.57689/DINI-BLOG.20210525 |
Strukturwandel durch Innovation: Über die performative Verschränkung und Aneignung zweier Streitbegriffe in der Lausitz.Blümel, C. (2021).Strukturwandel durch Innovation: Über die performative Verschränkung und Aneignung zweier Streitbegriffe in der Lausitz. In J. Herberg, J. Staemmler, & P. Nanz (Hrsg.), Wissenschaft im Strukturwandel: Die paradoxe Praxis engagierter Transformationsforschung (S. 163-189). München: oekom. |
Entwicklung einer Klassifikation für interdisziplinäre Forschungsfelder im Rahmen des Kerndatensatz Forschung: Dokumentation des Projekts und der Projektergebnisse.Stiller, J., Trkulja, V., Biesenbender, S., & Petras, V. (2021).Entwicklung einer Klassifikation für interdisziplinäre Forschungsfelder im Rahmen des Kerndatensatz Forschung: Dokumentation des Projekts und der Projektergebnisse. Berlin: DZHW. |
Kritische Bestandsaufnahme des BIH Charité (Junior) Clinician Scientist Programms: Untersuchungen einer integrierten Forschungs- und Facharztweiterbildung in der Universitätsmedizin.Hendriks, B., Schendzielorz, C., Heger, C., & Reinhart, M. (2021).Kritische Bestandsaufnahme des BIH Charité (Junior) Clinician Scientist Programms: Untersuchungen einer integrierten Forschungs- und Facharztweiterbildung in der Universitätsmedizin. Berlin: DZHW. |
Rewarding Research Data Management.Schöpfel, J., & Azeroual, O. (2021).Rewarding Research Data Management. In Manghi, P. et al. (Hrsg.), Proceedings of Sci-K 2021: 1st International Workshop on Scientific Knowledge Representation, Discovery, and Assessment, Apr 19 –23, 2021. Ljubljana, Slovenia: ACM, New York, NY, USA. https://doi.org/10.1145/3442442.3451367 |
Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM.Azeroual, O., Ershadi, M. J., Azizi, A., Banihashemi, M., & Abadi, R. E. (2021).Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM. Informatica - An International Journal of Computing and Informatics, 2021(45), 65-80. https://doi.org/10.31449/inf.v45i1.2995 |
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