Up-skilling the next generation of researchers to analyse complex linked population-level datasets: ADR UK PhD studentships case study

ObjectiveAdministrative Data Research UK (ADR UK) has invested £1.9M in its first pilot PhD scheme, as part of a larger Training and Capacity Building Strategy to increase the capability of researchers trained to analyse complex linked population-level datasets. This session will highlight the successes and lessons learned in the first year of implementing this pilot in the context of a wider strategic drive to increase the number of data skills-focused PhD students in the UK. Approach22 PhD projects from across the UK were selected for funding by an independent panel of experts. Students and supervisors joined a unique cohort receiving targeted support from ADR UK. Activities, events and resources were devised with advice from existing users of the data, including regular events and check-ins, training opportunities, an online Learning Hub and noticeboard, and establishment of themed networks and communities. ResultsSupporting cross-disciplinary cohorts of students and supervisors who span the UK has come with its own challenges. These include accessing data through different models and gateways, addressing a variety of skills gaps, and developing community building approaches that address multiple needs and which sustain the momentum beyond formal in-person events. Conclusions & Implications ADR UK's targeted support model will continue to evolve to ensure the students in this PhD cohort make the most of their experiences. We welcome the opportunity to connect with international colleagues about their experiences of programmes designed to up-skill the next generation of researchers to analyse complex linked population-level datasets.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2536
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Up-skilling the next generation of researchers to analyse complex linked population-level datasets: ADR UK PhD studentships case study

Emily Oliver, Emma Gordon, Saba Mir
International Journal for Population Data Science
Health disparities and outcomes
article

Up-skilling the next generation of researchers to analyse complex linked population-level datasets: ADR UK PhD studentships case study

Emily Oliver, Emma Gordon, Saba Mir
article en

Abstract

ObjectiveAdministrative Data Research UK (ADR UK) has invested £1.9M in its first pilot PhD scheme, as part of a larger Training and Capacity Building Strategy to increase the capability of researchers trained to analyse complex linked population-level datasets. This session will highlight the successes and lessons learned in the first year of implementing this pilot in the context of a wider strategic drive to increase the number of data skills-focused PhD students in the UK. Approach22 PhD projects from across the UK were selected for funding by an independent panel of experts. Students and supervisors joined a unique cohort receiving targeted support from ADR UK. Activities, events and resources were devised with advice from existing users of the data, including regular events and check-ins, training opportunities, an online Learning Hub and noticeboard, and establishment of themed networks and communities. ResultsSupporting cross-disciplinary cohorts of students and supervisors who span the UK has come with its own challenges. These include accessing data through different models and gateways, addressing a variety of skills gaps, and developing community building approaches that address multiple needs and which sustain the momentum beyond formal in-person events. Conclusions & Implications ADR UK's targeted support model will continue to evolve to ensure the students in this PhD cohort make the most of their experiences. We welcome the opportunity to connect with international colleagues about their experiences of programmes designed to up-skill the next generation of researchers to analyse complex linked population-level datasets.

International Journal for Population Data ScienceVol. 9(5)
UK Research and Innovation (GB)
Openalex Percentile: Top 81%
Health disparities and outcomes
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