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Other literature type . 2026
License: CC BY
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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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UK Data Service Computational Skills Survey: Current use, value and training needs

Authors: Price, Debora; Higgins, Vanessa; Kasmire, Jools; Jennifer, Buckley; Capener, Louise; Qureshi, Sarwat;

UK Data Service Computational Skills Survey: Current use, value and training needs

Abstract

This report presents the findings of the UK Data Service staff consultation on computational skills, conducted November-December 2024 as part of the UKRI funded grant Building Computational Capacity among Global Data Service Staff (UKRI302: UKRI Digital Research Infrastructure Programme). The consultation achieved a strong response rate, with 64 staff (around 80% of the workforce) participating. The results show that staff across all areas of the Service recognise the critical importance of computational skills to the organisation’s future and are highly motivated to develop their capability. While there is already a strong foundation of technical expertise, the survey highlights variation across roles and identifies clear opportunities for targeted, role-specific training. The findings will inform future investment in professional development, helping to ensure the Service remains at the forefront of data innovation and delivery.

Country
United Kingdom
Related Organizations
Keywords

data skills, training, computational skills, ResearchInstitutes_Networks_Beacons/cathie_marsh_institute; name=Cathie Marsh Institute, UK Data Service, workforce training, computational social science, data services

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    influence
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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