Anonymised survey data

  • Michelle Barker (Research Software Alliance) (Creator)
  • Neil Chue Hong (University of Edinburgh) (Creator)
  • Anna Mette Morthorst (Danish e-infrastructure cooperation (DeiC) (Contributor)
  • Birgit Schmidt (Contributor)
  • Birte Christensen-Dalsgaard (Aarhus University) (Contributor)
  • Daniel Roewenstrunk (University of Paderborn) (Contributor)
  • Egon Heuson (Centrale Lille) (Contributor)
  • Jean-Francois Nominé (The French National Centre for Scientific Research (CNRS) (Contributor)
  • Karsten Kryger Hansen (Aalborg University Library) (Contributor)
  • Laurents Sesink (SURF) (Contributor)
  • Leo Lahti (University of Turku) (Contributor)
  • Loek Brinkman (Data Archiving and Networked Services (DANS) (Contributor)
  • Matt Jaquiery (University of Oxford) (Contributor)
  • Olivier Rouchon (The French National Centre for Scientific Research (CNRS) (Contributor)
  • Stefanie Mewes (Deutsche Forschungsgemeinschaft) (Contributor)
  • Tuomas Alaterä (Contributor)

Tietoaineisto

Kuvaus

This anonymised survey data helped inform the Knowledge Exchange report, Approaches to scaling up reproducibility in research organisations. The survey questions (contained in Appendix B of the report) sought information on demographics, reproducibility practices that the participants engaged with and/or supported, and what influenced their adoption and/or promotion of practices to increase scaling up of reproducibility. The survey questions were based on analysis of work including individual and organisational decision making, and barriers to engagement with reproducibility and open science for researchers.

Is supplement to Report "Approaches to scaling up reproducibility in research organisations": https://doi.org/10.5281/zenodo.10663903
Koska saatavilla25 maalisk. 2024

Field of science, Statistics Finland

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