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Recommendations On Open Science Training

Authors: Kuchma, Iryna; FOSTER Plus Consortium;

Recommendations On Open Science Training

Abstract

Building on Open Science Training Handbook (available as gitbook at https://book.fosteropenscience.eu/ and in the github repository at https://github.com/Open-Science-Training-Handbook ), and on successes of over 40 online and face-to-face events that FOSTER organized in 2017-2018, this report provides good practice recommendations on open science training targeting researchers and multipliers – train-the-trainers approaches for research support staff and librarians. It includes the following: A selection of open science topics to include in your training activities; Useful tips on how to plan based on outcomes rather than objectives; Overview of types of training based on the audience size, funds available, duration of training and training levels; Organizational task checklist; Exercises and glossary; Overview of FOSTER training events for life science, social sciences and humanities and FOSTER open science clinic series of speed counselling for early career researchers, Tech Transfer and Grant Officers and National Contact Points for Horizon 2020; Recommendations on train-the-trainer approaches highlighting our experience from FOSTER open science trainer bootcamp and materials from two other train-the-trainer courses: ELIXIR EXCELERATE and Powering up your 2018 (data skills) from ANDS, Nectar and RDS. Roadmap for implementing open science training practices in research institutions suggesting six practical actions to be implemented by research institutions to support a cultural change towards open science.

doi:10.5281/ZENODO.1341023

Keywords

open science training, open science, train-the-trainer

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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.
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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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