Course materials, Presentation, Slides, Video

Open Science in the Swedish Context

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Open Science in the Swedish Context is a modular training programme designed to support researchers in integrating Open Science practices throughout the entire research lifecycle.

Based on national and international frameworks — including SUHF’s Färdplan för öppen vetenskap and KB’s Nationella riktlinjer för öppen vetenskap — the course provides practical guidance on key topics such as open publishing, data sharing and reuse, responsible research evaluation, science communication, intellectual property rights, and the future of Open Science.

This Figshare collection brings together presentation materials, recorded lectures, and hands-on exercises from the full 10-module course, enabling flexible self-study and reuse.

It is intended for researchers, educators, and research support staff seeking to develop their skills and understanding of Open Science within the Swedish context — and beyond.

DOI: https://doi.org/10.17044/scilifelab.c.7890686.v1

Licence: Creative Commons Attribution 4.0 International

Contact: Ineke Luijten, ineke.luijten@scilifelab.se, ORCID 0000-0001-5768-275X

Keywords: Open science, Data Management, Science communication, Intellectual property rights, Open Access, CoARA, Citizen science, preregistration

Target audience: researchers, educators, and research support staff

Resource type: Course materials, Presentation, Slides, Video

Version: 1

Status: Active

Prerequisites:

Knowledge: none
Technical: basic computer knowledge

Learning objectives:

This course is designed for participants to:
- Get acquainted with Open Science principles and how they will be implemented into Swedish academia within the coming years.

- Be able to execute every step of a research project according to Open Science principles.

Date created: 2025-05-05

Date published: 2025-06-30

Authors: Ineke Luijten, Elin Kronander, David Rayner

Contributors: Sabina Anderberg, Till Brückner, Jonas Åkerman, Sara Belfrage, Abeni Wickham, Christopher Erdmann, Amanda Klein, Sanna Isabel Ulfsparre, Karin Westin Tikkanen, Lotta Waesterberg Tomasson, Erik Stattin, Andreas Lundquist, Richard Williams, Sabina Leonelli

Scientific topics: Open science, Data management

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