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?:abstract
  • The code/syntax describes the quantitative analysis presented in the named reference. Using a quantitative survey we explore the experiences of navigating dual careers for a sample of scientists who applied for a European Research Council (ERC) grant. The analysis differentiates between applicants for a Starting Grant (StG) and Advanced Grant (AdG). Main topics of the quantitative description are how many women scientists and men scientists have children and a partner and the employment status of the partner. We provide information how scientists with an employed partner rate the importance of their careers in the partnership and how difficult they find it to pursue two careers. We map characteristics of StG applicants with different dual career experiences. The quantitative description supplements the findings from qualitative interviews on the lived experiences of the scientists. (xsd:string)
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  • Sociology (en)
  • Soziologie (de)
?:citationString
  • Schels, Brigitte (2023): Code/Syntax: Navigating treacherous waters. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2543 (en)
  • Schels, Brigitte (2023): Code/Syntax: Navigating treacherous waters. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2543 (de)
?:comment
  • The quantitative analysis is based on ERCAREER data. The data were collected in an online survey with scientists who applied for a Starting Grant (StG) or Advanced Grant (AdG) of the European Research Council (ERC). Detailed information regarding data collection and realized samples are given in:Vinkenburg, C. J., Connolly, S., Fuchs, S., Herschberg, C., & Schels, B. (2020). Mapping career patterns in research: A sequence analysis of career histories of ERC applicants. PloS one, 15(7), e0236252, https://doi.org/10.1371/journal.pone.0236252Unrestricted and uncontrolled access to the complete original data comprises the confidentiality and privacy of the study participants, and violates the conditions an ethics approval obtained for this study of the Ethical Committee of the ERC. Simplified de-identified analysis data sets that contain minimal personal variables are available upon request. The data sets are available through the University of East Anglia. Please contact openreserach@uea.ac.uk to explain why you need the data and purposes for which they will be used. The data will be made available through Professor Sara Connolly. (xsd:string)
?:conditionsOfAccess
  • Free access (with registration) (en)
  • Freier Zugang (mit Registrierung) (de)
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  • 1.0.0, https://doi.org/10.7802/2543 (xsd:string)
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  • 2023 (xsd:gyear)
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  • 2023-01-01 (xsd:date)
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  • 2023 (xsd:gyear)
?:doi
  • 10.7802/2543 ()
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  • true (xsd:boolean)
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  • Code/Syntax: Navigating treacherous waters (xsd:string)
?:principalInvestigator
  • Schels, Brigitte (xsd:string)
  • [Connolly, Sara; University of East Anglia (Datenerheber/in) [=] Herschberg, Channah; Radboud Universiteit Nijmegen (Datenerheber/in) [=] Fuchs, Stefan; Institut für Arbeitsmarkt- und Berufsforschung (Datenerheber/in) [=] Vinkenburg, Claartje; Independent Expert (Projektleitung)] (xsd:string)
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  • SowiDataNet|datorium (en)
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  • GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2543 (en)
  • GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2543 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
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  • Replication material (en)
  • Replikationsmaterial (de)
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