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Presentation . 2021
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Presentation . 2021
License: CC BY
Data sources: Datacite
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Best practices for online training: EOSC Synergy

Authors: Cepinskas, Linas; Clare, Helen;

Best practices for online training: EOSC Synergy

Abstract

EOSC Synergy offers a wide range of practical tools for the research community and trainers. It is the goal of the project team to contribute to sustaining open science practices and strengthening skills for better science. The objective of the lightning talk is to showcase the training materials and resources and inspire trainers to use them for their training activities. In line with the above, the lightning talk will give a preview of the train-the-trainer online course developed to support trainers in creating online teaching and learning materials using best practices following EOSC Synergy’s assurance guidelines. Topics, such as online learning design, learning activities, content format, delivery and tools are covered in the course and will be briefly introduced during the talk. The second demonstration will include an introductory online course on Open Science, EOSC and research data management. This course was developed as an example material, and it can be reused for training purposes. The distinctive advantage of the course is showcasing the practical benefits of the European Open Science Cloud and related initiatives. EOSC Synergy has the goal to expand the capacity and capabilities of EOSC by leveraging the experience, effort and resources of national publicly-funded digital infrastructures. In particular it develops a new channel to support the build up of EOSC human capabilities. Training and skills makes part of the project’s broader work towards achieving the main goal.

Keywords

Train-the-Trainer, EOSC, Open Science, Best Practices, FAIR

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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!
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