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Exploring diverse data science roles and their skills

Authors: Karoune, Emma;

Exploring diverse data science roles and their skills

Abstract

This presentation was give in 4th June 2024 for Bristol Data Week's Career's in Data Science session. In this talk, I present some of the research from our Skills Policy Award Project - Professionalising traditional and infrastructure research roles in data science. I present a case for a move away from the current unhelpful and misleading narrative around data science roles dominated by the 'the data scientist' to the much more realistic 'data science team' made up of individuals performing diverse roles with specialised skills to enable more impact and greater sustainability for data science research. I also introduce our new project 'People in Data' that aims to convene an open community of data professionals, which promotes a culture that values and prioritises data and recognises people that work in data roles as essential to research.

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Keywords

Research Community Management, Artificial intelligence, AI, Interdisciplinarity, Data skills, Health sciences, FOS: Health sciences, Health data, Data science

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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
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