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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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Open Science & Evidence-Informed Decision Making: Lessons Learned

Authors: Evangelinou, Betty; Gottwald, Isolde; Provost, Lottie; Kiesel, Megumi; Green, Dominique; Gaido, Luciano; BORGET, Fabien; +20 Authors

Open Science & Evidence-Informed Decision Making: Lessons Learned

Abstract

The ‘Open Science and Evidence-Informed Decision Making’ (EIDM) Learning Path is a targeted Train-the-Trainer Initiative, developed under the Skills4EOSC project, specifically designed for policymakers, civil servants, knowledge brokers and all stakeholders interested in Open Science and decision making. The learning path addresses the pressing need to equip these professional profiles with the knowledge, skills, and competences to engage with and apply Open Science principles in policy development and evidence-informed decision making. The programme aimed to improve policy effectiveness, transparency and trust by equipping participants with practical skills and knowledge. This training pathway is not a general-purpose curriculum but one tailored to the distinctive needs and roles of policy sector professionals. Recognising that little existing training material fully addressed these profiles, the development process combined a landscaping analysis of relevant initiatives with the creation of original, purpose-built content. The goal was to ensure that the training program responds directly to the real-world responsibilities, constraints, and opportunities faced by decision-makers and intermediaries in public administrations.

Keywords

Evidence-Informed Decision Making, Train-the-Trainer, Open Science, Learning Path

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green