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The EU-IoT Framework for Internet of Things Skills: Closing the Talent Gap

Authors: JOHN SOLDATOS;

The EU-IoT Framework for Internet of Things Skills: Closing the Talent Gap

Abstract

This whitepaper aims at shedding light in the IoT skills shortage issue, while at the same time introducing EU-IoT tools for alleviating the problem. Specifically, this whitepaper: Reviews and presents the wide array of different IoT skills needed for the development, deployment, and operation of modern IoT projects. Reviews and presents how different IoT skills can be clustered in meaningful IoT skills profiles, notably the profiles that are currently high in demand in the global job market. Introduces the EU-IoT skills framework, which includes a taxonomy of IoT skills and serves as a basis for defining skills profiles, education activities and learning paths. Presents the results of the EU-IoT skills survey, which involves over 100 experienced IoT professionals in the specifications of the IoT skills that are currently highly demanded in the market. Explains how the EU-IoT skills framework and the EU-IoT catalogues of training courses can drive the specification of learning paths for popular IoT skills profiles. A set of simple, yet practical examples in this direction are presented in the whitepaper.

Keywords

Big Data, Machine Learning, Future of Work, Skills, Internet of Things, Upskilling, Edge Computing, Skills Framework, Training, Reskilling, Cloud Computing

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selected citations
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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.
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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