MRC Biomedical Data Science Leadership Awards Brochure
Authors/Creators
- Biomedical Data Science Leadership Awards Cluster Project
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Angione, Claudio1
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Bianco, Denise2, 3
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Brooksbank, Catherine4
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Caamaño Gutiérrez, Eva
(Project leader)5
- Cadman, Sarah6
- Casci, Tanita7
- Cockell, Simon8
- Cutillo, Luisa9
- Davies, Paul10
- Deja, Beth5
- Droop, Alastair11
- Dunning, Mark12
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Etherington, Rachel
(Project manager)7
- Evans, Anthony5
- Gavaghan, David7
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George, Charlotte
(Project leader)7
- Gurwitz, Kim13
- Hall, Marlous9
- Hillston, Jane14
- Hughes, David5
- Iles, Mark9
- Ivens, Al14
- Johnson, Emily5
- Jones, Andy5
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Karoune, Emma
(Project leader)2
- Khamseh, Ava14
- Koutsouroupa, Eirini (Project manager)2
- Marsh, Alison2
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Matser, Vera2
- McDonald, Christina (Project manager)5
- Mclean, Colin14
- Mitra, Suparna9
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Murray, Hollydawn
(Project leader)6
- Naracott, Andrew12
- Norman, Kylie9
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Ponting, Chris
(Project leader)14
- Relton, Samuel9
- Shilton, Jessica (Researcher)9
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Sims, David
(Project leader)7
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Sokolova, Daria13
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Tomba, Giulia2
- Wakeham, Rosie6
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Westhead, David
(Project leader)9
- Wright, Kim9
- Yaneva-Toraman, Inna (Project manager)14
- Zadissa, Amonida15
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1.
Teesside University
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2.
The Alan Turing Institute
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3.
University of the Arts London
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4.
European Bioinformatics Institute
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5.
University of Liverpool
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6.
Health Data Research UK
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7.
University of Oxford
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8.
Newcastle University
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9.
University of Leeds
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10.
University of Dundee
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11.
University of York
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12.
University of Sheffield
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13.
European Molecular Biology Laboratory - European Bioinformatics Institute
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14.
University of Edinburgh
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15.
UK Dementia Research Institute
Description
This brochure has been developed collaboratively by the five MRC Biomedical Data Science Leadership Award Projects and is intended to disseminate our shared vision for this award as well as our own project activities.
Introduction to award and projects:
The MRC Biomedical Data Science Leadership Awards (BDSLA) aim to strengthen the inclusion, quality, and recognition of data science within biomedical research by fostering thought leadership, innovative approaches, and a more inclusive research culture.
MRC BDSLA was launched in response to the MRC’s 2022 Biomedical Data Science Review, which identified the need for coordinated action across four key challenges: developing strong biomedical data science leadership; improving access, recognition, and support for multidisciplinary teams; enhancing quality, standards, and professionalisation; and adopting inclusive approaches to growing skills capacity and improving career pathways.
In 2024, the MRC funded five cross-institute collaborative awards to address leadership and collaboration challenges and to generate evidence on how biomedical research can better incorporate, resource, and recognise high-quality data science across the research landscape. These projects bring together interdisciplinary teams to develop practical approaches, tools, and frameworks that can be adopted across the biomedical research community:
- ABDC – Advancing Biomedical Data Science Careers
- BIOMEDASA – Biomedical Data Science Accelerator
- HxC – Healthier Science through Collaboration
- INTEGRATE – Embedding a supportive culture for data science in biomedical research
- PROMOTE – Progressing Routes and Opportunities through Mentoring, Openness, Training, and Equity
Alongside their individual objectives for supporting interdisciplinary research, the five teams have developed strong cross-award relationships, supported by an innovative MRC mechanism that provided additional resources for collaborative activities. This multi-institute and cross-sector approach has enabled knowledge exchange across a wide range of UK research organisations regarding both barriers and new ways of working to support interdisciplinary research.
Files
MRC Biomedical Data Science Leadership Awards Brochure.pdf
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(7.7 MB)
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