Publikationen

Leider konnte für diese Suchkombination kein Ergebnis gefunden werden

The Perception of Scientific Authorship Across Domains.

Johann, D., & Mayer, S. J. (2019).
The Perception of Scientific Authorship Across Domains. Minvera, 57(2), 175-196. https://doi.org/10.1007/s11024-018-9363-3

Too sophisticated even for highly educated survey respondents? A qualitative assessment of indirect question formats for sensitive questions.

Jerke, J., Johann, D., Rauhut, H., & Thomas, K. (2019).
Too sophisticated even for highly educated survey respondents? A qualitative assessment of indirect question formats for sensitive questions. Survey Research Methods 13(3), 319-351.

Quality of Research Information in RIS Databases: A Multidimensional Approach.

Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2019).
Quality of Research Information in RIS Databases: A Multidimensional Approach. In Abramowicz, W., & Corchuelo, Rafael (Hrsg.), 22nd International Conference on Business Information Systems, BIS 2019, Seville, Spain, June 26–28, 2019, 5/2019 (S. 337-349).

Evaluations as value-measurement links: Exploring metrics and meanings in science.

Hesselmann, F., & Schendzielorz, C. (2019).
Evaluations as value-measurement links: Exploring metrics and meanings in science. In Brighenti, A.M., Theorising Measures, Rankings and Metrics, Special Issue for Social Science Information, (S. 282-300).

Applying Crossref and Unpaywall information to identify gold, hidden gold, hybrid and delayed Open Access publications in the KB corpus. Report to Kompetenzzentrum Bibliometrie.

Akbaritabar, A., & Stahlschmidt, S. (2019).
Applying Crossref and Unpaywall information to identify gold, hidden gold, hybrid and delayed Open Access publications in the KB corpus. Report to Kompetenzzentrum Bibliometrie. DZHW: Berlin/Hannover. https://doi.org/10.31235/osf.io/sdzft

Quantitative Sociology of Academic Work in an Era of Hypercompetition and Rankings.

Akbaritabar, A. (2019).
Quantitative Sociology of Academic Work in an Era of Hypercompetition and Rankings. Universita' degli Studi di MILANO, 2019 Apr 16. (31. ciclo, Anno Accademico 2018). http://doi.org/10.13130/akbaritabar-aliakbar_phd2019-04-16

Science Blogs as Critique—Building Public Identities in the Field of Translational Research.

Hendriks, B., & Reinhart, M. (2019).
Science Blogs as Critique—Building Public Identities in the Field of Translational Research. Science & Technology Studies(Reihe) [preprint]. https://doi.org/10.31235/osf.io/u5erv

Traditionelle bibliometrische Indikatoren im Qualitätsmanagement und die Auswirkungen eines naiven Umgangs damit.

Hornbostel, S. (2019).
Traditionelle bibliometrische Indikatoren im Qualitätsmanagement und die Auswirkungen eines naiven Umgangs damit. In AQ Austria (Hrsg.), Forschung fördern - Rahmenbedingungen gestalten! Beiträge zur 6. AQ Austria Jahrestagung 2018. Wien: facultas.
ISBN 978-3-7089-1887-7

Fraud and Misconduct in Research: Detection, Investigation, and Organizational Response by Nachman Ben-Yehuda and Amalya Oliver-Lumerman.

Reinhart, M. (2019).
Fraud and Misconduct in Research: Detection, Investigation, and Organizational Response by Nachman Ben-Yehuda and Amalya Oliver-Lumerman. American Journal of Sociology , 124(5), 1598-1600. https://doi.org/10.1086/701692

Die simulierte Moral. Fehlverhalten und Sanktion in der Wissenschaft.

Heßelmann, F. (2019).
Die simulierte Moral. Fehlverhalten und Sanktion in der Wissenschaft. In Joller, S., & Stanisavljevic, M. (Hrsg.), Moralische Kollektive. Theoretische Grundlagen und empirische Einsichten (153-176). Wiesbaden: Springer VS.

What it takes to do science diplomacy. Practices, identities, needs and challenges of science diplomacy practitioners. Baseline analysis and needs assessment.

Degelsegger-Márquez, A., Flink, T., & Rungius, C. (2019).
What it takes to do science diplomacy. Practices, identities, needs and challenges of science diplomacy practitioners. Baseline analysis and needs assessment. Deliverable 2.3, Vienna: S4D4C.

ETL Best Practices for Data Quality Checks in RIS Databases.

Azeroual, O., Saake, G., & Abuosba, M. (2019).
ETL Best Practices for Data Quality Checks in RIS Databases. Informatics, volume 6, 1-13.

Performance and Structures of the German Science System.

Stahlschmidt, S., Stephen, D., & Hinze, S. (2019).
Performance and Structures of the German Science System. Berlin: EFI, Studien zum deutschen Innovationssystem Nr. 05-2019.

Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries.

Azeroual, O., & Schöpfel, J. (2019).
Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries. MDPI Publications, volume 7 (1-18). https://doi.org/10.3390/publications7010014

Die große Vermessung: Eine neue Studie will herausfinden, was Deutschlands Promovierende bewegt.

Adrian, D. (2019).
Die große Vermessung: Eine neue Studie will herausfinden, was Deutschlands Promovierende bewegt. Berlin: OpenD / DUZ Verlags- und Medienhaus GmbH.

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