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Guide
The aim of the ROSiE Training Materials for Responsible Open Science is to learn how to practice open science responsibly and how to prevent research misconduct in the context of open science, by providing the necessary knowledge and developing specific skills and attitudes.

Topics Included

  • Ethical and societal foundations of open science, its purpose
  • The quality of the research outputs and data sets
  • Protection of research participants’ rights in open science
  • Prevention of research malpractices in the context of open science
  • Responsible sharing and use of open data
  • Responsible dissemination/publication practices
  • Protection of intellectual property in the context of open science
  • Ethical aspects of citizen science in the context of open science

Training materials are aimed at learners from five disciplines:

  • social sciences
  • humanities
  • health and life sciences
  • natural sciences
  • citizen science

All groups of trainees can use ROSiE online learning modules to implement self-directed learning. In this process, trainees are in charge of their learning, and they are autonomous in choosing what, how and where they are learning.

Online training materials can also be used for the implementation of blended learning, which combines traditional on-site training led by a trainer with using online content to allow trainees to build their own learning experience. In this case the 'traditional' learning materials developed within the ROSIE project (see ROSiE Knowledge Hub) can be used together with ROSiE online training materials created for self-directed learning.

The ROSiE training modules have been produced by Signe Mežinska, Ivars Neiders and Zanda Rubene. The resource uses texts from the ROSiE "D1.3: Conceptual and normative framework for tackling the ethical, epistemic, disciplinary and RI-related challenges of advancing OS-practices" (contributors Søren Holm, Rosemarie Bernabe, Kadri Simm, Mathieu Rochambeau, Jaana Eigi, Bjørn Hofmann, Francois Jost, Olivier Le Gall, Ana Sofia Carvalho, Maria Strecht, Nathalie Voarino).
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