Professor David Ford

Professor of Informatics

Health Data Science

+44 (0) 1792 513404

d.v.ford@swansea.ac.uk

Cellular Office - 402
Fourth Floor
Data Science Building
Singleton Campus

Research Links

https://orcid.org/0000-0001-6551-721X

ResearchGate

About

Professor David Ford is Professor of Informatics at Swansea University and Director of Population Data Science based in Swansea University Medical School.

Professor Ford has won over £70m in new research projects and infrastructure grants awarded by high-esteem funders in recent years. He is Principal Investigator (PI) of the Administrative Data Research Wales (ADRC Wales), a £7.2m investment into Wales by the Economic and Social Research Council (ESRC) as part of its Big Data initiative. He is the PI of the UK Multiple Sclerosis Register (funded by MS Society); Joint PI of the Family Justice Data Partnership (funded by Nuffield Foundation); Deputy Director of the Substantive Health Data Research UK (HDR UK) for Wales and Northern Ireland; Chief Data Officer for BREATHE - The Health Research Hub for Respiratory Health.

Professor Ford is also the Co-Founder and Director of the Secure Anonymised Information Linkage (SAIL) Databank, and the Secure e-Research Platform (SeRP), which is increasingly used by researchers and data custodians around the world to safely curate and share the data.

Areas Of Expertise

Health Informatics
eHealth
Health Services
Population Health
Data Protection and Privacy Protection
Big Data Analytics
Administrative Data

Career Highlights

Teaching Interests

Professor Ford teaches data infrastructure, data reuse for research, and information governance.

Research Award Highlights

Publications

Research Highlights

Jones, K. & Ford, D. (2018). Population data science: advancing the safe use of population data for public benefit. Epidemiology and Health, 40, e2018061
https://doi.org/10.4178/epih.e2018061, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48319
Jones, K., Daniels, H., Heys, S., & Ford, D. (2018). Towards an ethically-founded framework for the use of mobile phone CDRs in health research. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i4.608, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45866
Thayer, D., Gregory, J., Kosnes, L., Berridge, D., Heaven, M., Ford, D., Lloyd, K., & John, A. (2017). Reusable, set-based selection algorithm for matched control groups. International Journal of Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.395, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37097
Lacey, A., Fonferko-Shadrach, B., Lyons, R., Kerr, M., Ford, D., Rees, M., & Pickrell, O. (2017). Obtaining structured clinical data from unstructured data using natural language processing software. International Journal of Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.381, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37094
Ghali, W., Schull, M., & Ford, D. (2017). Thoughts and musings from the new International Population Data Linkage Network (IPDLN) Co-directors. International Journal for Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.403, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37093
Jones, K., Ford, D., Ellwood-Thompson, S., & Lyons, R. (2016). The UK Secure eResearch Platform for public health research: a case study. The Lancet, 388, S62
https://doi.org/10.1016/s0140-6736(16)32298-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32033
Porter, A., Bardsley, M., Ford, D., Grenfell, J., Heaven, M., Morrison-Rees, S., Oades, J., Sewell, B., Tingay, K., & Watkins, A. (2016). TIMELY SOCIAL CARE AND EMERGENCY HOSPITAL ADMISSIONS. Emergency Medicine Journal, 33(9), 678-678.
https://doi.org/10.1136/emermed-2016-206139.4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32028
Baker, D., Anandhakrishnan, A., Tuite-Dalton, K., Lockhart-Jones, H., Middleton, R., Ford, D., Crowe, C., & Giovannoni, G. (2016). How to refer to people with disease in research outputs: The disconnection between academic practise and that preferred by people with multiple sclerosis. Multiple Sclerosis and Related Disorders, 10, 127-133.
https://doi.org/10.1016/j.msard.2016.09.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32027
Jones, K., Ford, D., Jones, C., Dsilva, R., Ellwood-Thompson, S., Brooks, C., Heaven, M., Thayer, D., McNerney, C., & Lyons, R. (2014). A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: A privacy-protecting remote access system for health-related research and evaluation. Journal of Biomedical Informatics, 50, 196-204.
https://doi.org/10.1016/j.jbi.2014.01.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17071
Jones, K., McNerney, C., & Ford, D. (2014). Involving consumers in the work of a data linkage research unit. International Journal of Consumer Studies, 38(1), 45-51.
https://doi.org/10.1111/ijcs.12062, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16840
Jones, K., Ford, D., Jones, P., John, A., Middleton, R., Lockhart-Jones, H., Peng, J., Osborne, L., & Noble, G. (2013). How People with Multiple Sclerosis Rate Their Quality of Life: An EQ-5D Survey via the UK MS Register. PLoS ONE, 8(6), e65640
https://doi.org/10.1371/journal.pone.0065640, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16841
Osborne, L., Lockhart-Jones, H., Middleton, R., Thompson, S., Maramba, I., Jones, K., Ford, D., & Noble, J. (2013). Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics, 8(1), 1-16.
https://doi.org/10.4018/jhisi.2013010101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16842
Jones, K., Ford, D., Jones, P., John, A., Middleton, R., Lockhart-Jones, H., Peng, J., Osborne, L., Noble, G., & Jones, P. (2013). The Physical and Psychological Impact of Multiple Sclerosis Using the MSIS-29 via the Web Portal of the UK MS Register. PLoS ONE, 8(1), e55422
https://doi.org/10.1371/journal.pone.0055422, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16846
Jones, K., Ford, D., Jones, P., John, A., Middleton, R., Lockhart-Jones, H., Osborne, L., & Noble, G. (2012). A Large-Scale Study of Anxiety and Depression in People with Multiple Sclerosis: A Survey via the Web Portal of the UK MS Register. PLoS ONE, 7(7), e41910
https://doi.org/10.1371/journal.pone.0041910, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16849
Lyons, R., Hutchings, H., Rodgers, S., Hyatt, M., Demmler, J., Gabbe, B., Brooks, C., Brophy, S., Jones, K., Ford, D., Paranjothy, S., Fone, D., Dunstan, F., Evans, A., Kelly, M., Watkins, W., Maddocks, A., Barnes, P., James-Ellison, M...., & Healy, M. (2012). Development and use of a privacy-protecting total population record linkage system to support observational, interventional, and policy relevant research. The Lancet, 380, S6
https://doi.org/10.1016/S0140-6736(13)60362-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16843
Drummond, C., Coulton, S., James, D., Godfrey, C., Parrott, S., Baxter, J., Ford, D., Lervy, B., Rollnick, S., Russell, I., Peters, T., & Ford, D. (2009). Effectiveness and cost-effectiveness of a stepped care intervention for alcohol use disorders in primary care: pilot study. The British Journal of Psychiatry, 195(5), 448-456.
https://doi.org/10.1192/bjp.bp.108.056697, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16857
Rodgers, S., Lyons, R., Dsilva, R., Jones, K., Brooks, C., Ford, D., John, G., Verplancke, J., Brooks, C., Rodgers, S., Jones, K., Ford, D., & Lyons, R. (2009). Residential Anonymous Linking Fields (RALFs): a novel information infrastructure to study the interaction between the environment and individuals' health. Journal of Public Health, 31(4), 582-588.
https://doi.org/10.1093/pubmed/fdp041, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10313
http://www.ncbi.nlm.nih.gov/pubmed/19447812
Ford, D., Jones, K., Verplancke, J., Lyons, R., John, G., Brown, G., Brooks, C., Bodger, O., Ellwood-Thompson, S., Couch, T., & Leake, K. (2009). The SAIL Databank: building a national architecture for e-health research and evaluation. BMC Health Services Research, 9(1), 157
https://doi.org/10.1186/1472-6963-9-157, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10439
http://dx.doi.org/10.1186/1472-6963-9-157
Lyons, R., Jones, K., John, G., Brooks, C., Verplancke, J., Ford, D., Brown, G., & Leake, K. (2009). The SAIL databank: linking multiple health and social care datasets. BMC Medical Informatics and Decision Making, 9(1), 3
https://doi.org/10.1186/1472-6947-9-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10513
Brooks, C., Lyons, R., Jones, K., Hutton, A., Walker, R., Evans, K., Lloyd, K., & Ford, D. (2010). The prescribed duration algorithm: utilising ‘free text’ from multiple primary care electronic systems. Pharmacoepidemiology and Drug Safety, 19(9), 983-989.
https://doi.org/10.1002/pds.2012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10514
Stephens, J., Carman, J., Brooks, C., Lyons, R., Ford, D., Price, D., Bain, S., Brooks, C., Stephens, J., Ford, D., & Lyons, R. (2011). Comment on: Polonsky et al. Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes: Results From the Structured Testing Program Study. Diabetes Care 2011;34:262-267. Diabetes Care, 34(5), e57-e57.
https://doi.org/10.2337/dc11-0258, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10696
http://care.diabetesjournals.org/content/34/5/e57.full
Brooks, C., Stephens, J., Price, D., Ford, D., Lyons, R., Prior, S., Bain, S., Brooks, C., & Lyons, R. (2009). Use of a patient linked data warehouse to facilitate diabetes trial recruitment from primary care. Primary Care Diabetes, 3(4), 245-248.
https://doi.org/10.1016/j.pcd.2009.06.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10726
http://www.primary-care-diabetes.com/article/S1751-9918(09)00048-5/abstract
Brooks, C., Tang, T., Ford, D., Lyons, R., Price, D., Bain, S., & Stephens, J. (2009). Are blood pressure levels taken during a secondary care diabetic clinic likely to be higher than when measured in primary care?. Primary Care Diabetes, 3(3), 193-195.
https://doi.org/10.1016/j.pcd.2009.06.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10911
http://dx.doi.org/10.1016/j.pcd.2009.06.001
Middleton, R., Ford, D., Jones, K., Middleton, R., Lockhart-Jones, H., Maramba, I., Noble, G., Osborne, L., & Lyons, R. (2012). The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS. BMC Medical Informatics and Decision Making, 12(1), 73
https://doi.org/10.1186/1472-6947-12-73, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11798
Middleton, R., Noble, J., Osborne, L., Jones, K., Middleton, R., Ford, D., Noble, G., Jones, K., & Ford, D. (2012). Commentary on 'Disability outcome measures in multiple sclerosis clinical trials'. Multiple Sclerosis Journal, 18(12), 1718-1720.
https://doi.org/10.1177/1352458512457847, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12133
Middleton, R., Osborne, L., Noble, J., Lockhart-Jones, H., Middleton, R., Ellwood-Thompson, S., Maramba, I., Jones, K., Ford, D., & Noble, G. (2012). Sources of Discovery, Reasons for Registration, and Expectations of an Internet-Based Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics, 7(3), 27-43.
https://doi.org/10.4018/jhisi.2012070103, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12357
Atkinson, M., Brophy, S., Siebert, S., Gravenor, M., Phillips, C., Ford, D., Jones, K., & Lyons, R. (2010). Protocol for a population-based Ankylosing Spondylitis (PAS) cohort in Wales. BMC Musculoskeletal Disorders, 11(1)
https://doi.org/10.1186/1471-2474-11-197, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14774
Middleton, R., Osborne, L., Lockhart-Jones, H., Middleton, R., Thompson, S., Maramba, I., Jones, K., Ford, D., Noble, J., & Noble, G. (2013). Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics, 8(1)-16.
https://doi.org/10.4018/jhisi.2013010101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15161
Middleton, R., Osborne, L., Middleton, R., Jones, K., Ford, D., Noble, J., & Noble, G. (2013). Desirability and expectations of the UK MS Register: Views of people with MS. International Journal of Medical Informatics
https://doi.org/10.1016/j.ijmedinf.2013.07.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15873
http://www.sciencedirect.com/science/article/pii/S1386505613001603
Osborne, L., Noble, G., Maramba, I., Jones, K., Middleton, R., Lyons, R., Ford, D., & Reed, P. (2014). Outcome measures for multiple sclerosis. Physical Therapy Reviews, 19(1), 24-38.
https://doi.org/10.1179/1743288x13y.0000000094, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18316
Jones, K., Jones, P., Middleton, R., Ford, D., Tuite-Dalton, K., Lockhart-Jones, H., Peng, J., Lyons, R., John, A., & Noble, G. (2014). Physical Disability, Anxiety and Depression in People with MS: An Internet-Based Survey via the UK MS Register. PLoS ONE, 9(8), e104604
https://doi.org/10.1371/journal.pone.0104604, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18808
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0104604&type=printable
Lyons, R., Moore, L., Rodgers, S., & Ford, D. (2013). Use of data linkage to measure the population health effect of non-health-care interventions. The Lancet, 383(9927), 1517-1519.
https://doi.org/10.1016/S0140-6736(13)61750-X, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20208
John, A., Dennis, M., Kosnes, L., Gunnell, D., Scourfield, J., Ford, D., & Lloyd, K. (2014). Suicide Information Database-Cymru: a protocol for a population-based, routinely collected data linkage study to explore risks and patterns of healthcare contact prior to suicide to identify opportunities for intervention. BMJ Open, 4(11), e006780-e006780.
https://doi.org/10.1136/bmjopen-2014-006780, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20296
Lloyd, K., McGregor, J., John, A., Craddock, N., Walters, J., Linden, D., Jones, I., Bentall, R., Lyons, R., Ford, D., & Owen, M. (2015). A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage. Schizophrenia Research, 166(1-3), 131-136.
https://doi.org/10.1016/j.schres.2015.05.036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22303
Perkins, B., Garlick, R., Wren, J., Smart, J., Kennedy, J., Stephens, P., Tudor, G., Bisson, J., & Ford, D. (2016). The Life Science Exchange: a case study of a sectoral and sub-sectoral knowledge exchange programme. Health Research Policy and Systems, 14(1)
https://doi.org/10.1186/s12961-016-0105-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29199
Jones, K., Laurie, G., Stevens, L., Dobbs, C., Ford, D., & Lea, N. (2017). The other side of the coin: Harm due to the non-use of health-related data. International Journal of Medical Informatics, 97, 43-51.
https://doi.org/10.1016/j.ijmedinf.2016.09.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30416
Brooks, C., Ford, D., & Jones, K. (2017). A UKSeRP for SAIL: striking a balance. International Journal for Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33025
https://ijpds.org/article/view/254
Jones, K., Laurie, G., Stevens, L., Dobbs, C., Ford, D., & Lea, N. (2017). The other side of the coin: harm due to the non-use of health-related data. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.52, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34916
Jones, K., Ford, D., & Lyons, R. (2017). The SAIL Databank: 10 years of spearheading data privacy and research utility, 2007-2017
https://doi.org/10.23889/sail-databank.1001101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34918
McGrail, K., Jones, K., Akbari, A., Bennett, T., Boyd, A., Carinci, F., Cui, X., Denaxas, S., Dougall, N., Ford, D., Kirby, R., Kum, H., Moorin, R., Moran, R., O'Keefe, C., Preen, D., Quan, H., Sanmartin, C., Schull, M...., & Kotelchuck, M. (2018). A Position Statement on Population Data Science:. International Journal of Population Data Science, 3(1)
https://doi.org/10.23889/ijpds.v3i1.415, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39433
Middleton, R., Akbari, A., Lockhart-Jones, H., Jones, J., Owen, C., Hughes, S., Gain, R., & Ford, D. (2017). Clinical Validation of the UKMS Register Minimal Dataset utilising Natural Language Processing. International Journal of Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.288, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39436
Lacey, A., Lyons, J., Akbari, A., Turner, S., Walters, A., Fonferko-Shadrach, B., Pickrell, O., Rees, M., Lyons, R., Ford, D., & Middleton, R. (2017). Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters. International Journal for Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.354, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39437
Middleton, R., Rodgers, J., Giovannoni, G., Schmierer, K., Dobson, R., Allen-Philbey, K., Patterson, A., Tuite-Dalton, K., Ford, D., & Akbari, A. (2017). A Comparison of participant supplied EDSS scores and clinically submitted data via the UK MS Register. Multiple Sclerosis Journal, 23(3_suppl), 85-426.
https://doi.org/10.1177/1352458517731404, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39440
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000413730200236&KeyUID=WOS:000413730200236
Middleton, R., Rodgers, W., Chataway, J., Schmierer, K., Rog, D., Galea, I., Akbari, A., Tuite-Dalton, K., Lockhart-Jones, H., Griffiths, D., Noble, D., Jones, K., Al-Din, A., Craner, M., Evangelou, N., Harman, P., Harrower, T., Hobart, J., Husseyin, H...., & Ford, D. (2018). Validating the portal population of the United Kingdom Multiple Sclerosis Register. Multiple Sclerosis and Related Disorders, 24, 3-10.
https://doi.org/10.1016/j.msard.2018.05.015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40629
Jones, K., Daniels, H., Heys, S., & Ford, D. (2018). Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review. JMIR mHealth and uHealth, 6(7), e161
https://doi.org/10.2196/mhealth.9974, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43696
Jones, K., Daniels, H., Heys, S., & Ford, D. (2019). Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research. JMIR mHealth and uHealth, 7(3), e11969
https://doi.org/10.2196/11969, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43714
Lyons, R., Ford, D., & Jones, K. (2014). The Secure Anonymised Information Linkage (SAIL) system in Wales has privacy protection at its heart. BMJ, 348(apr03 1), g2384-g2384.
https://doi.org/10.1136/bmj.g2384, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43718
Orton, C., North, L., Orton, C., Gallacher, J., Bauermeister, S., Akbari, A., Ford, D., Lyons, R., & Ellwood-Thompson, S. (2018). Data Services for Cohort Studies: Increasing the impact of existing research studies and epidemiological readiness. In International Journal of Population Data ScienceIPDLN 2018 conference.
https://doi.org/10.23889/ijpds.v3i4.698, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44396
Fonferko-Shadrach, B., Lacey, A., Akbari, A., Ellwood-Thompson, S., Ford, D., Lyons, R., Rees, M., & Pickrell, O. (2018). Using natural language processing to extract structured epilepsy data from unstructured clinic letters. International Journal of Population Data Science, 3(4)
https://doi.org/10.23889/ijpds.v3i4.699, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44398
http://dx.doi.org/10.23889/ijpds.v3i4.699
Middleton, R., Ford, D., Akbari, A., Lockhart-Jones, H., Jones, J., Hughes, S., & Owen, C. (2016). Natural language processing to capture MS clinical data. Multiple Sclerosis Journal, 22(3_suppl), 717-717.
https://doi.org/10.1177/1352458516663067, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44549
Jones, K., Daniels, H., Heys, S., & Ford, D. (2019). Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study. JMIR mHealth and uHealth, 7(1), e11730
https://doi.org/10.2196/11730, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48287
Fonferko-Shadrach, B., Lacey, A., Roberts, A., Akbari, A., Ford, D., Thompson, S., Lyons, R., Rees, M., & Pickrell, W. (2019). Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system. BMJ Open, 9(4), e023232
https://doi.org/10.1136/bmjopen-2018-023232, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49118
Jones, K., Daniels, H., Squires, E., & Ford, D. (2019). Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study. Journal of Medical Internet Research, 21(8), e14384
https://doi.org/10.2196/14384, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51070
Jones, K., Heys, S., Daniels, H., & Ford, D. (2019). Exploring barriers and solutions in advancing cross-centre population data science. International Journal of Population Data Science, 4(1)
https://doi.org/10.23889/ijpds.v4i1.1109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51073
Jones, K., Ford, D., Ellwood-Thompson, S., & Lyons, R. (2019). A Profile of the SAIL Databank on the UK Secure Research Platform. International Journal of Population Data Science, 4(2)
https://doi.org/10.23889/ijpds.v4i2.1134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51627
Middleton, R., Ford, D., & Naeh, D. (2017). iConsent an Electronic Consent Platform with the MS Register. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.363, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53023
Jones, K., Daniels, H., Heys, S., Lacey, A., & Ford, D. (2020). Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review. Journal of Medical Internet Research, 22(5), e16346
https://doi.org/10.2196/16346, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53556
Alrouh, B., Broadhurst, K., Griffiths, L., Johnson, R., Cusworth, L., Bedston, S., Akbari, A., Jones, K., & Ford, D. (2019). Born into Care: characterising newborn babies and infants in care proceedings in England and Wales. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1285, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53652
Griffiths, L., Johnson, R., Cusworth, L., Akbari, A., Alrouh, B., Bedston, S., Harwin, J., Jones, K., Smart, J., Ellwood-Thompson, S., Ford, D., & Broadhurst, K. (2019). The Nuffield Family Justice Observatory Data Partnership. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1279, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53658
Jones, K. & Ford, D. (2018). Privacy, confidentiality and practicalities in data linkage. National Statistical Quality Review
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53688
https://gss.civilservice.gov.uk/policy-store/privacy-and-data-confidentiality-methods-a-national-statisticians-quality-review-nsqr/#privacy-confidentiality-and-practicalities-in-data-linkage
Jorm, L., McGrail, K., Victor, J., Jones, K., Ford, D., & Churches, T. (2018). Secure data analysis environments: can we agree on criteria for “Appropriate secure access” to linked health data?. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i4.836, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53726
Jones, K. & Ford, D. (2019). LINKAGE: Factors in selecting a data linkage approach. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1175, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53730
Daniels, H., Jones, K., Heys, S., & Ford, D. (2021). Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study. Journal of Medical Internet Research, 23(9), e15739
https://doi.org/10.2196/15739, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53732
http://dx.doi.org/10.2196/15739
Johnson, R., Ford, D., Broadhurst, K., Cusworth, L., Jones, K., Akbari, A., Bedston, S., Alrouh, B., Doebler, S., Lee, A., Smart, J., Ellwood-Thompson, S., Trinder, L., & Griffiths, L. (2020). Data Resource: population level family justice administrative data with opportunities for data linkage. International Journal of Population Data Science, 5(1)
https://doi.org/10.23889/ijpds.v5i1.1339, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54418
John, A., del Pozo Banos, M., Gunnell, D., Dennis, M., Scourfield, J., Ford, D., Kapur, N., & Lloyd, K. (2020). Contacts with primary and secondary healthcare prior to suicide: case–control whole-population-based study using person-level linked routine data in Wales, UK, 2000–2017. The British Journal of Psychiatry, 217(6), 1-8.
https://doi.org/10.1192/bjp.2020.137, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54772
Griffiths, L., Johnson, R., Broadhurst, K., Cusworth, L., Bedson, S., Akbari, A., Lee, A., Alrough, B., Doebler, S., John, A., & Ford, D. (2020). Born into care: One thousand mothers in care proceedings in Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55046
https://www.nuffieldfjo.org.uk/resource/1000-mothers-care-proceedings-wales
Fry, R., Hollinghurst, J., Stagg, H., Thompson, D., Fronterre, C., Orton, C., Lyons, R., Ford, D., Sheikh, A., & Diggle, P. (2021). Real-time spatial health surveillance: Mapping the UK COVID-19 epidemic. International Journal of Medical Informatics, 149, 104400
https://doi.org/10.1016/j.ijmedinf.2021.104400, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55271
Middleton, R., Pearson, O., Ingram, G., Craig, E., Rodgers, J., Downing-Wood, H., Hill, J., Tuite-Dalton, K., Roberts, C., Watson, L., Ford, D., Nicholas, R., & Group), . (2020). A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test. Journal of Medical Internet Research, 22(9), e18234
https://doi.org/10.2196/18234, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55412
Jones, K., Heys, S., Thompson, R., Jones, K., Griffiths, L., Johnson, R., Lee, A., Ford, D., & Broadhurst, K. (2020). Linking pre- and post-adoption records for research in anonymised form in a data safe haven:. International Journal of Population Data Science, 5(3)
https://doi.org/10.23889/ijpds.v5i3.1370, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55516
Jones, K., Heys, S., Thompson, R., Cross, L., & Ford, D. (2020). Public Involvement & Engagement in the work of a data safe haven: a case study of the SAIL Databank. International Journal of Population Data Science, 5(3)
https://doi.org/10.23889/ijpds.v5i3.1371, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55517
Griffiths, L., Johnson, R., Broadhurst, K., Bedston, S., Cusworth, L., Alrouh, B., Ford, D., & John, A. (2020). Maternal health, pregnancy and birth outcomes for women involved in care proceedings in Wales: a linked data study. BMC Pregnancy and Childbirth, 20(1)
https://doi.org/10.1186/s12884-020-03370-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55713
Vasileiou, E., Simpson, C., Robertson, C., Shi, T., Kerr, S., Agrawal, U., Akbari, A., Bedston, S., Beggs, J., Bradley, D., Chuter, A., Lusignan, S., Docherty, A., Ford, D., Hobbs, R., Joy, M., Katikireddi, S., Marple, J., McCowan, C...., & Sheikh, A. (2021). Effectiveness of First Dose of COVID-19 Vaccines Against Hospital Admissions in Scotland: National Prospective Cohort Study of 5.4 Million People. SSRN Electronic Journal
https://doi.org/10.2139/ssrn.3789264, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56329
Orton, C., Ford, D., Sheikh, A., Norrie, J., Fletcher, M., Quint, J., Tobin, M., & Hall, I. (2020). Unifying the UK’S Data for Respiratory Science: BREATHE, The Health Data Research UK (HDR UK) Respiratory Health Data Research Hub. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1433, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56498
Orton, C., Gallacher, J., Bauermeister, S., Lyons, R., Ellwood-Thompson, S., Ford, D., South, M., Mackay, C., & Williams, J. (2019). P1-533: DEMENTIAS PLATFORM UK DATA PORTAL - MULTI-MODAL DATA ANALYSIS USING CUSTOMISED INFRASTRUCTURE. Alzheimer's & Dementia, 15, P474-P474.
https://doi.org/10.1016/j.jalz.2019.06.1138, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56511
Orton, C., Gallacher, J., Lyons, R., Ford, D., Ellwood-Thompson, S., Mackay, C., Williams, J., Bauermeister, S., Menzies, G., South, M., Biddle, J., Bale, M., & North, L. (2018). Dementias Platform UK (DPUK) Data Portal - World-leading infrastructure facilitating innovative multi-modal research. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i4.702, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56512
Orton, C., Gallacher, J., Lyons, R., Ford, D., Ellwood-Thompson, S., & Bauermeister, S. (2018). P1-590: DEMENTIAS PLATFORM UK (DPUK) DATA PORTAL: FACILITATING DEMENTIAS RESEARCH ON A GLOBAL SCALE. Alzheimer's & Dementia, 14(7S_Part_10), P563-P563.
https://doi.org/10.1016/j.jalz.2018.06.602, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56513
Orton, C., Gallacher, J., Lyons, R., Ford, D., Ellwood-Thompson, S., & Bauermeister, S. (2018). Dementias Platform UK (DPUK) Data Portal - supporting multi-modal data analysis, data linkage and real-world outcomes. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i2.538, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56514
Vasileiou, E., Simpson, C., Shi, T., Kerr, S., Agrawal, U., Akbari, A., Bedston, S., Beggs, J., Bradley, D., Chuter, A., Lusignan, S., Docherty, A., Ford, D., Hobbs, F., Joy, M., Katikireddi, S., Marple, J., McCowan, C., McGagh, D...., & Sheikh, A. (2021). Interim findings from first-dose mass COVID-19 vaccination roll-out and COVID-19 hospital admissions in Scotland: a national prospective cohort study. The Lancet, 397(10285), 1646-1657.
https://doi.org/10.1016/s0140-6736(21)00677-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56768
Evangelou, N., Garjani, A., dasNair, R., Hunter, R., Tuite-Dalton, K., Craig, E., Rodgers, J., Coles, A., Dobson, R., Duddy, M., Ford, D., Hughes, S., Pearson, O., Middleton, L., Rog, D., Tallantyre, E., Friede, T., Middleton, R., & Nicholas, R. (2020). Self-diagnosed COVID-19 in people with multiple sclerosis: a community-based cohort of the UK MS Register. Journal of Neurology, Neurosurgery & Psychiatry, 92(1), 107-109.
https://doi.org/10.1136/jnnp-2020-324449, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56803
Garjani, A., Hunter, R., Law, G., Middleton, R., Tuite-Dalton, K., Dobson, R., Ford, D., Hughes, S., Pearson, O., Rog, D., Tallantyre, E., Nicholas, R., Morriss, R., Evangelou, N., & Nair, R. (2021). Mental health of people with multiple sclerosis during the COVID-19 outbreak: A prospective cohort and cross-sectional case–control study of the UK MS Register. Multiple Sclerosis Journal, 28(7), 135245852110204
https://doi.org/10.1177/13524585211020435, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57028
Griffiths, L., Johnson, R., Akbari, A., & Ford, D. (2021). Newborn babies in urgent care proceedings in England and Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57035
https://www.nuffieldfjo.org.uk/resource/newborn-babies-urgent-care-proceedings
Doebler, S., Alrouh, B., Broadhurst, K., Bedston, S., Cusworth, L., Akbari, A., Ford, D., & Griffiths, L. (2021). Explaining high rates of infants in care proceedings in deprived areas of Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57700
https://www.nuffieldfjo.org.uk/resource/infants-care-proceedings-deprived-wales
Johnson, R., Alrouh, B., Broadhurst, K., Ford, D., John, A., Jones, K., Cusworth, L., Akbari, A., Smart, J., Ellwood-Thompson, S., & Griffiths, L. (2021). Health vulnerabilities of parents in care proceedings in Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57701
https://www.nuffieldfjo.org.uk/resource/health-vulnerabilities-parents-care-proceedings
Huang, Y., Rodgers, J., Middleton, R., Baheerathan, A., Tuite-Dalton, K., Ford, D., Nicholas, R., & Group, M. (2021). Willingness to receive a COVID-19 vaccine in people with multiple sclerosis - UK MS Register survey. Multiple sclerosis and related disorders, 55, 103175-103175.
https://doi.org/10.1016/j.msard.2021.103175, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57795
Broadhurst, K., Cusworth, L., Harwin, J., Alrouh, B., Bedston, S., Trinder, L., Jones, K., Ford, D., & Griffiths, L. (2021). Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community. Journal of Social Welfare and Family Law, 43(3), 237-255.
https://doi.org/10.1080/09649069.2021.1953856, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58142
Rodgers, J., Friede, T., Vonberg, F., Constantinescu, C., Coles, A., Chataway, J., Duddy, M., Emsley, H., Ford, H., Fisniku, L., Galea, I., Harrower, T., Hobart, J., Huseyin, H., Kipps, C., Marta, M., McDonnell, G., McLean, B., Pearson, O...., & Nicholas, R. (2022). The impact of smoking cessation on multiple sclerosis disease progression. Brain, 145(4), 1368-1378.
https://doi.org/10.1093/brain/awab385, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58437
Griffiths, L., McGregor, J., Pouliou, D., Johnson, R., Broadhurst, K., Cusworth, L., North, L., Ford, D., & John, A. (2022). Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study. BJPsych Open, 8(2)
https://doi.org/10.1192/bjo.2022.6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59158
Vasileiou, E., Shi, T., Kerr, S., Robertson, C., Joy, M., Tsang, R., McGagh, D., Williams, J., Hobbs, R., Lusignan, S., Bradley, D., OReilly, D., Murphy, S., Chuter, A., Beggs, J., Ford, D., Orton, C., Akbari, A., Bedston, S...., & Sheikh, A. (2022). Investigating the uptake, effectiveness and safety of COVID-19 vaccines: protocol for an observational study using linked UK national data. BMJ Open, 12(2), e050062.
https://doi.org/10.1136/bmjopen-2021-050062, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59406
http://dx.doi.org/10.1136/bmjopen-2021-050062
Johnson, R., North, L., Alrouh, B., John, A., Jones, K., Akbari, A., Smart, J., Ellwood-Thompson, S., Hargreaves, C., Doebler, S., Cusworth, L., Broadhurst, K., Ford, D., & Griffiths, L. (2022). A population level study into health vulnerabilities of mothers and fathers involved in public law care proceedings in Wales, UK between 2011 and 2019. International Journal of Population Data Science, 7(1)
https://doi.org/10.23889/ijpds.v7i1.1723, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59784
Kerr, S., Joy, M., Torabi, F., Bedston, S., Akbari, A., Agrawal, U., Beggs, J., Bradley, D., Chuter, A., Docherty, A., Ford, D., Hobbs, R., Katikireddi, S., Lowthian, E., Lusignan, S., Lyons, R., Marple, J., McCowan, C., McGagh, D...., & Sheikh, A. (2022). First dose ChAdOx1 and BNT162b2 COVID-19 vaccinations and cerebral venous sinus thrombosis: A pooled self-controlled case series study of 11.6 million individuals in England, Scotland, and Wales. PLOS Medicine, 19(2), e1003927
https://doi.org/10.1371/journal.pmed.1003927, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60273
Lee, A., Elliott, M., Scourfield, J., Bedston, S., Broadhurst, K., Ford, D., & Griffiths, L. (2022). Data Resource: Children Receiving Care and Support and Children in Need, administrative records in Wales.. International Journal of Population Data Science, 7(1)
https://doi.org/10.23889/ijpds.v7i1.1694, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60351
Teece, L., Gray, L., Melbourne, C., Orton, C., Ford, D., Martin, C., McAllister, D., Khunti, K., Tobin, M., John, C., Abrams, K., & Pareek, M. (2021). United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): a retrospective cohort study using linked routinely collected data, study protocol. BMJ Open, 11(6), e046392
https://doi.org/10.1136/bmjopen-2020-046392, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60383
Johnson, R., North, L., Alrouh, B., John, A., Jones, K., Akbari, A., Smart, J., Ellwood-Thompson, S., Hargreaves, C., Doebler, S., Cusworth, L., Broadhurst, K., Ford, D., & Griffiths, L. (2022). A population-level study into health vulnerabilities of mothers and fathers involved in public law care proceedings in Wales, UK.. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v7i3.2003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61236
Nicholas, R., Heaven, M., Middleton, R., Chevli, M., Pulikottil-Jacob, R., Jones, K., & Ford, D. (2020). Personal and societal costs of multiple sclerosis in the UK: A population-based MS Registry study. Multiple Sclerosis Journal - Experimental, Translational and Clinical, 6(1), 205521732090172
https://doi.org/10.1177/2055217320901727, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61478
Flachenecker, P., Buckow, K., Pugliatti, M., Kes, V., Battaglia, M., Boyko, A., Confavreux, C., Ellenberger, D., Eskic, D., Ford, D., Friede, T., Fuge, J., Glaser, A., Hillert, J., Holloway, E., Ioannidou, E., Kappos, L., Kasilingam, E., Koch-Henriksen, N...., & Consortium*), . (2014). Multiple sclerosis registries in Europe – results of a systematic survey. Multiple Sclerosis Journal, 20(11), 1523-1532.
https://doi.org/10.1177/1352458514528760, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61479
Wong, S., Schuckel, V., Ellwood-Thompson, S., Ford, D., Lyons, R., & Hier, R. (2020). British Columbia’s Health Data Platform: Unleashing the Power of a Data Environment Commons for Health and Health System Improvement. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1477, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61817
Jolliffe, D., Holt, H., Greenig, M., Talaei, M., Perdek, N., Pfeffer, P., Vivaldi, G., Maltby, S., Symons, J., Barlow, N., Normandale, A., Garcha, R., Richter, A., Faustini, S., Orton, C., Ford, D., Lyons, R., Davies, G., Kee, F...., & Martineau, A. (2022). Effect of a test-and-treat approach to vitamin D supplementation on risk of all cause acute respiratory tract infection and covid-19: phase 3 randomised controlled trial (CORONAVIT). BMJ, 0, e071230
https://doi.org/10.1136/bmj-2022-071230, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61819
https://pubmed.ncbi.nlm.nih.gov/36215226/
Thayer, D., Bown, D., Leake, T., Jones, J., Noyce, R., Brooks, C., Ford, D., & Bown, D. (2018). Code List Library: A Solution to Improve Research Repeatability, Transparency, and Efficiency by Curating Lists of Clinical Codes. International Journal of Population Data Science, 3(4)
https://doi.org/10.23889/ijpds.v3i4.891, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61867
Williams, J., Ford, D., & Yapp, T. (1993). Capturing clinical activity--coming to terms with information. Gut, 34(12), 1651-1652.
https://doi.org/10.1136/gut.34.12.1651, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61878

All Research

Journal Articles

Farr, I., Cowley, L., Broadhurst, K., Odd, D., Jones, C., Bailey, G., Alrouh, B., Abouelenin, M., Cusworth, L., Doebler, S., Ford, D., & Griffiths, L. (2024). Health service use of infants involved in family justice care and supervision proceedings in Wales: a data linkage study. International Journal of Population Data Science, 9(1)
https://doi.org/10.23889/ijpds.v9i1.2362, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66059
Ekezie, W., Martin, C., Baggaley, R., Teece, L., Nazareth, J., Pan, D., Sze, S., Bryant, L., Woolf, K., Gray, L., Khunti, K., Pareek, M., Nellums, L., Guyatt, A., John, C., McManus, I., Abubakar, I., Gupta, A., Abrams, K...., & group), . (2023). Association between ethnicity and migration status with the prevalence of single and multiple long-term conditions in UK healthcare workers. BMC Medicine, 21(1)
https://doi.org/10.1186/s12916-023-03109-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66409
Fonferko-Shadrach, B., Lacey, A., Strafford, H., Jones, C., Baker, M., Powell, R., Akbari, A., Lyons, R., Ford, D., Ellwood-Thompson, S., Jones, K., Chung, S., Pickrell, O., & Rees, M. (2023). Genetic influences on epilepsy outcomes: a whole‐exome sequencing and healthcare records data linkage study. Epilepsia
https://doi.org/10.1111/epi.17766, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64175
http://dx.doi.org/10.1111/epi.17766
Lerede, A., Rodgers, J., Middleton, R., Hampshire, A., Nicholas, R., Coles, A., Chataway, J., Duddy, M., Emsley, H., Ford, H., Fisniku, L., Galea, I., Harrower, T., Hobart, J., Huseyin, H., Kipps, C., Marta, M., McDonnell, G., McLean, B...., & Group), . (2023). Patient-reported outcomes in multiple sclerosis: a prospective registry cohort study. Brain Communications, 5(4)
https://doi.org/10.1093/braincomms/fcad199, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66407
Holt, H., Relton, C., Talaei, M., Symons, J., Davies, M., Jolliffe, D., Vivaldi, G., Tydeman, F., Williamson, A., Pfeffer, P., Orton, C., Ford, D., Davies, G., Lyons, R., Griffiths, C., Kee, F., Sheikh, A., Breen, G., Shaheen, S., & Martineau, A. (2022). Cohort Profile: Longitudinal population-based study of COVID-19 in UK adults (COVIDENCE UK). International Journal of Epidemiology, 52(1)
https://doi.org/10.1093/ije/dyac189, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61886
Jolliffe, D., Holt, H., Greenig, M., Talaei, M., Perdek, N., Pfeffer, P., Vivaldi, G., Maltby, S., Symons, J., Barlow, N., Normandale, A., Garcha, R., Richter, A., Faustini, S., Orton, C., Ford, D., Lyons, R., Davies, G., Kee, F...., & Martineau, A. (2022). Effect of a test-and-treat approach to vitamin D supplementation on risk of all cause acute respiratory tract infection and covid-19: phase 3 randomised controlled trial (CORONAVIT). BMJ, 0, e071230
https://doi.org/10.1136/bmj-2022-071230, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61819
https://pubmed.ncbi.nlm.nih.gov/36215226/
Lee, A., Elliott, M., Scourfield, J., Bedston, S., Broadhurst, K., Ford, D., & Griffiths, L. (2022). Data Resource: Children Receiving Care and Support and Children in Need, administrative records in Wales.. International Journal of Population Data Science, 7(1)
https://doi.org/10.23889/ijpds.v7i1.1694, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60351
Rodgers, J., Friede, T., Vonberg, F., Constantinescu, C., Coles, A., Chataway, J., Duddy, M., Emsley, H., Ford, H., Fisniku, L., Galea, I., Harrower, T., Hobart, J., Huseyin, H., Kipps, C., Marta, M., McDonnell, G., McLean, B., Pearson, O...., & Nicholas, R. (2022). The impact of smoking cessation on multiple sclerosis disease progression. Brain, 145(4), 1368-1378.
https://doi.org/10.1093/brain/awab385, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58437
Johnson, R., North, L., Alrouh, B., John, A., Jones, K., Akbari, A., Smart, J., Ellwood-Thompson, S., Hargreaves, C., Doebler, S., Cusworth, L., Broadhurst, K., Ford, D., & Griffiths, L. (2022). A population level study into health vulnerabilities of mothers and fathers involved in public law care proceedings in Wales, UK between 2011 and 2019. International Journal of Population Data Science, 7(1)
https://doi.org/10.23889/ijpds.v7i1.1723, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59784
Griffiths, L., McGregor, J., Pouliou, D., Johnson, R., Broadhurst, K., Cusworth, L., North, L., Ford, D., & John, A. (2022). Anxiety and depression among children and young people involved in family justice court proceedings: longitudinal national data linkage study. BJPsych Open, 8(2)
https://doi.org/10.1192/bjo.2022.6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59158
Kerr, S., Joy, M., Torabi, F., Bedston, S., Akbari, A., Agrawal, U., Beggs, J., Bradley, D., Chuter, A., Docherty, A., Ford, D., Hobbs, R., Katikireddi, S., Lowthian, E., Lusignan, S., Lyons, R., Marple, J., McCowan, C., McGagh, D...., & Sheikh, A. (2022). First dose ChAdOx1 and BNT162b2 COVID-19 vaccinations and cerebral venous sinus thrombosis: A pooled self-controlled case series study of 11.6 million individuals in England, Scotland, and Wales. PLOS Medicine, 19(2), e1003927
https://doi.org/10.1371/journal.pmed.1003927, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa60273
Vasileiou, E., Shi, T., Kerr, S., Robertson, C., Joy, M., Tsang, R., McGagh, D., Williams, J., Hobbs, R., Lusignan, S., Bradley, D., OReilly, D., Murphy, S., Chuter, A., Beggs, J., Ford, D., Orton, C., Akbari, A., Bedston, S...., & Sheikh, A. (2022). Investigating the uptake, effectiveness and safety of COVID-19 vaccines: protocol for an observational study using linked UK national data. BMJ Open, 12(2), e050062.
https://doi.org/10.1136/bmjopen-2021-050062, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59406
http://dx.doi.org/10.1136/bmjopen-2021-050062
Huang, Y., Rodgers, J., Middleton, R., Baheerathan, A., Tuite-Dalton, K., Ford, D., Nicholas, R., & Group, M. (2021). Willingness to receive a COVID-19 vaccine in people with multiple sclerosis - UK MS Register survey. Multiple sclerosis and related disorders, 55, 103175-103175.
https://doi.org/10.1016/j.msard.2021.103175, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57795
Daniels, H., Jones, K., Heys, S., & Ford, D. (2021). Exploring the Use of Genomic and Routinely Collected Data: Narrative Literature Review and Interview Study. Journal of Medical Internet Research, 23(9), e15739
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http://dx.doi.org/10.2196/15739
Broadhurst, K., Cusworth, L., Harwin, J., Alrouh, B., Bedston, S., Trinder, L., Jones, K., Ford, D., & Griffiths, L. (2021). Scaling up research on family justice using large-scale administrative data: an invitation to the socio-legal community. Journal of Social Welfare and Family Law, 43(3), 237-255.
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Teece, L., Gray, L., Melbourne, C., Orton, C., Ford, D., Martin, C., McAllister, D., Khunti, K., Tobin, M., John, C., Abrams, K., & Pareek, M. (2021). United Kingdom Research study into Ethnicity And COVID-19 outcomes in Healthcare workers (UK-REACH): a retrospective cohort study using linked routinely collected data, study protocol. BMJ Open, 11(6), e046392
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Garjani, A., Hunter, R., Law, G., Middleton, R., Tuite-Dalton, K., Dobson, R., Ford, D., Hughes, S., Pearson, O., Rog, D., Tallantyre, E., Nicholas, R., Morriss, R., Evangelou, N., & Nair, R. (2021). Mental health of people with multiple sclerosis during the COVID-19 outbreak: A prospective cohort and cross-sectional case–control study of the UK MS Register. Multiple Sclerosis Journal, 28(7), 135245852110204
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Fry, R., Hollinghurst, J., Stagg, H., Thompson, D., Fronterre, C., Orton, C., Lyons, R., Ford, D., Sheikh, A., & Diggle, P. (2021). Real-time spatial health surveillance: Mapping the UK COVID-19 epidemic. International Journal of Medical Informatics, 149, 104400
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Vasileiou, E., Simpson, C., Shi, T., Kerr, S., Agrawal, U., Akbari, A., Bedston, S., Beggs, J., Bradley, D., Chuter, A., Lusignan, S., Docherty, A., Ford, D., Hobbs, F., Joy, M., Katikireddi, S., Marple, J., McCowan, C., McGagh, D...., & Sheikh, A. (2021). Interim findings from first-dose mass COVID-19 vaccination roll-out and COVID-19 hospital admissions in Scotland: a national prospective cohort study. The Lancet, 397(10285), 1646-1657.
https://doi.org/10.1016/s0140-6736(21)00677-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56768
Vasileiou, E., Simpson, C., Robertson, C., Shi, T., Kerr, S., Agrawal, U., Akbari, A., Bedston, S., Beggs, J., Bradley, D., Chuter, A., Lusignan, S., Docherty, A., Ford, D., Hobbs, R., Joy, M., Katikireddi, S., Marple, J., McCowan, C...., & Sheikh, A. (2021). Effectiveness of First Dose of COVID-19 Vaccines Against Hospital Admissions in Scotland: National Prospective Cohort Study of 5.4 Million People. SSRN Electronic Journal
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Evangelou, N., Garjani, A., dasNair, R., Hunter, R., Tuite-Dalton, K., Craig, E., Rodgers, J., Coles, A., Dobson, R., Duddy, M., Ford, D., Hughes, S., Pearson, O., Middleton, L., Rog, D., Tallantyre, E., Friede, T., Middleton, R., & Nicholas, R. (2020). Self-diagnosed COVID-19 in people with multiple sclerosis: a community-based cohort of the UK MS Register. Journal of Neurology, Neurosurgery & Psychiatry, 92(1), 107-109.
https://doi.org/10.1136/jnnp-2020-324449, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56803
Griffiths, L., Johnson, R., Broadhurst, K., Bedston, S., Cusworth, L., Alrouh, B., Ford, D., & John, A. (2020). Maternal health, pregnancy and birth outcomes for women involved in care proceedings in Wales: a linked data study. BMC Pregnancy and Childbirth, 20(1)
https://doi.org/10.1186/s12884-020-03370-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55713
Jones, K., Heys, S., Thompson, R., Jones, K., Griffiths, L., Johnson, R., Lee, A., Ford, D., & Broadhurst, K. (2020). Linking pre- and post-adoption records for research in anonymised form in a data safe haven:. International Journal of Population Data Science, 5(3)
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Middleton, R., Pearson, O., Ingram, G., Craig, E., Rodgers, J., Downing-Wood, H., Hill, J., Tuite-Dalton, K., Roberts, C., Watson, L., Ford, D., Nicholas, R., & Group), . (2020). A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test. Journal of Medical Internet Research, 22(9), e18234
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Jones, K., Heys, S., Thompson, R., Cross, L., & Ford, D. (2020). Public Involvement & Engagement in the work of a data safe haven: a case study of the SAIL Databank. International Journal of Population Data Science, 5(3)
https://doi.org/10.23889/ijpds.v5i3.1371, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55517
John, A., del Pozo Banos, M., Gunnell, D., Dennis, M., Scourfield, J., Ford, D., Kapur, N., & Lloyd, K. (2020). Contacts with primary and secondary healthcare prior to suicide: case–control whole-population-based study using person-level linked routine data in Wales, UK, 2000–2017. The British Journal of Psychiatry, 217(6), 1-8.
https://doi.org/10.1192/bjp.2020.137, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54772
Johnson, R., Ford, D., Broadhurst, K., Cusworth, L., Jones, K., Akbari, A., Bedston, S., Alrouh, B., Doebler, S., Lee, A., Smart, J., Ellwood-Thompson, S., Trinder, L., & Griffiths, L. (2020). Data Resource: population level family justice administrative data with opportunities for data linkage. International Journal of Population Data Science, 5(1)
https://doi.org/10.23889/ijpds.v5i1.1339, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa54418
Jones, K., Daniels, H., Heys, S., Lacey, A., & Ford, D. (2020). Toward a Risk-Utility Data Governance Framework for Research Using Genomic and Phenotypic Data in Safe Havens: Multifaceted Review. Journal of Medical Internet Research, 22(5), e16346
https://doi.org/10.2196/16346, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53556
Nicholas, R., Heaven, M., Middleton, R., Chevli, M., Pulikottil-Jacob, R., Jones, K., & Ford, D. (2020). Personal and societal costs of multiple sclerosis in the UK: A population-based MS Registry study. Multiple Sclerosis Journal - Experimental, Translational and Clinical, 6(1), 205521732090172
https://doi.org/10.1177/2055217320901727, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61478
Jones, K., Ford, D., Ellwood-Thompson, S., & Lyons, R. (2019). A Profile of the SAIL Databank on the UK Secure Research Platform. International Journal of Population Data Science, 4(2)
https://doi.org/10.23889/ijpds.v4i2.1134, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51627
Jones, K., Daniels, H., Squires, E., & Ford, D. (2019). Public Views on Models for Accessing Genomic and Health Data for Research: Mixed Methods Study. Journal of Medical Internet Research, 21(8), e14384
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Jones, K., Heys, S., Daniels, H., & Ford, D. (2019). Exploring barriers and solutions in advancing cross-centre population data science. International Journal of Population Data Science, 4(1)
https://doi.org/10.23889/ijpds.v4i1.1109, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51073
Orton, C., Gallacher, J., Bauermeister, S., Lyons, R., Ellwood-Thompson, S., Ford, D., South, M., Mackay, C., & Williams, J. (2019). P1-533: DEMENTIAS PLATFORM UK DATA PORTAL - MULTI-MODAL DATA ANALYSIS USING CUSTOMISED INFRASTRUCTURE. Alzheimer's & Dementia, 15, P474-P474.
https://doi.org/10.1016/j.jalz.2019.06.1138, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56511
Fonferko-Shadrach, B., Lacey, A., Roberts, A., Akbari, A., Ford, D., Thompson, S., Lyons, R., Rees, M., & Pickrell, W. (2019). Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system. BMJ Open, 9(4), e023232
https://doi.org/10.1136/bmjopen-2018-023232, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49118
Jones, K., Daniels, H., Heys, S., & Ford, D. (2019). Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research. JMIR mHealth and uHealth, 7(3), e11969
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Jones, K., Daniels, H., Heys, S., & Ford, D. (2019). Public Views on Using Mobile Phone Call Detail Records in Health Research: Qualitative Study. JMIR mHealth and uHealth, 7(1), e11730
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Jones, K. & Ford, D. (2018). Population data science: advancing the safe use of population data for public benefit. Epidemiology and Health, 40, e2018061
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Thayer, D., Bown, D., Leake, T., Jones, J., Noyce, R., Brooks, C., Ford, D., & Bown, D. (2018). Code List Library: A Solution to Improve Research Repeatability, Transparency, and Efficiency by Curating Lists of Clinical Codes. International Journal of Population Data Science, 3(4)
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Middleton, R., Rodgers, W., Chataway, J., Schmierer, K., Rog, D., Galea, I., Akbari, A., Tuite-Dalton, K., Lockhart-Jones, H., Griffiths, D., Noble, D., Jones, K., Al-Din, A., Craner, M., Evangelou, N., Harman, P., Harrower, T., Hobart, J., Husseyin, H...., & Ford, D. (2018). Validating the portal population of the United Kingdom Multiple Sclerosis Register. Multiple Sclerosis and Related Disorders, 24, 3-10.
https://doi.org/10.1016/j.msard.2018.05.015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40629
Fonferko-Shadrach, B., Lacey, A., Akbari, A., Ellwood-Thompson, S., Ford, D., Lyons, R., Rees, M., & Pickrell, O. (2018). Using natural language processing to extract structured epilepsy data from unstructured clinic letters. International Journal of Population Data Science, 3(4)
https://doi.org/10.23889/ijpds.v3i4.699, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44398
http://dx.doi.org/10.23889/ijpds.v3i4.699
Jones, K., Daniels, H., Heys, S., & Ford, D. (2018). Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review. JMIR mHealth and uHealth, 6(7), e161
https://doi.org/10.2196/mhealth.9974, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43696
Orton, C., Gallacher, J., Lyons, R., Ford, D., Ellwood-Thompson, S., & Bauermeister, S. (2018). P1-590: DEMENTIAS PLATFORM UK (DPUK) DATA PORTAL: FACILITATING DEMENTIAS RESEARCH ON A GLOBAL SCALE. Alzheimer's & Dementia, 14(7S_Part_10), P563-P563.
https://doi.org/10.1016/j.jalz.2018.06.602, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56513
McGrail, K., Jones, K., Akbari, A., Bennett, T., Boyd, A., Carinci, F., Cui, X., Denaxas, S., Dougall, N., Ford, D., Kirby, R., Kum, H., Moorin, R., Moran, R., O'Keefe, C., Preen, D., Quan, H., Sanmartin, C., Schull, M...., & Kotelchuck, M. (2018). A Position Statement on Population Data Science:. International Journal of Population Data Science, 3(1)
https://doi.org/10.23889/ijpds.v3i1.415, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39433
Brooks, C., Ford, D., & Jones, K. (2017). A UKSeRP for SAIL: striking a balance. International Journal for Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33025
https://ijpds.org/article/view/254
Middleton, R., Rodgers, J., Giovannoni, G., Schmierer, K., Dobson, R., Allen-Philbey, K., Patterson, A., Tuite-Dalton, K., Ford, D., & Akbari, A. (2017). A Comparison of participant supplied EDSS scores and clinically submitted data via the UK MS Register. Multiple Sclerosis Journal, 23(3_suppl), 85-426.
https://doi.org/10.1177/1352458517731404, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39440
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000413730200236&KeyUID=WOS:000413730200236
Thayer, D., Gregory, J., Kosnes, L., Berridge, D., Heaven, M., Ford, D., Lloyd, K., & John, A. (2017). Reusable, set-based selection algorithm for matched control groups. International Journal of Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.395, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37097
Lacey, A., Fonferko-Shadrach, B., Lyons, R., Kerr, M., Ford, D., Rees, M., & Pickrell, O. (2017). Obtaining structured clinical data from unstructured data using natural language processing software. International Journal of Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.381, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37094
Lacey, A., Lyons, J., Akbari, A., Turner, S., Walters, A., Fonferko-Shadrach, B., Pickrell, O., Rees, M., Lyons, R., Ford, D., & Middleton, R. (2017). Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters. International Journal for Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.354, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39437
Middleton, R., Akbari, A., Lockhart-Jones, H., Jones, J., Owen, C., Hughes, S., Gain, R., & Ford, D. (2017). Clinical Validation of the UKMS Register Minimal Dataset utilising Natural Language Processing. International Journal of Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.288, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39436
Ghali, W., Schull, M., & Ford, D. (2017). Thoughts and musings from the new International Population Data Linkage Network (IPDLN) Co-directors. International Journal for Population Data Science, 1(1)
https://doi.org/10.23889/ijpds.v1i1.403, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa37093
Jones, K., Laurie, G., Stevens, L., Dobbs, C., Ford, D., & Lea, N. (2017). The other side of the coin: Harm due to the non-use of health-related data. International Journal of Medical Informatics, 97, 43-51.
https://doi.org/10.1016/j.ijmedinf.2016.09.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30416
Perkins, B., Garlick, R., Wren, J., Smart, J., Kennedy, J., Stephens, P., Tudor, G., Bisson, J., & Ford, D. (2016). The Life Science Exchange: a case study of a sectoral and sub-sectoral knowledge exchange programme. Health Research Policy and Systems, 14(1)
https://doi.org/10.1186/s12961-016-0105-4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29199
Baker, D., Anandhakrishnan, A., Tuite-Dalton, K., Lockhart-Jones, H., Middleton, R., Ford, D., Crowe, C., & Giovannoni, G. (2016). How to refer to people with disease in research outputs: The disconnection between academic practise and that preferred by people with multiple sclerosis. Multiple Sclerosis and Related Disorders, 10, 127-133.
https://doi.org/10.1016/j.msard.2016.09.007, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32027
Jones, K., Ford, D., Ellwood-Thompson, S., & Lyons, R. (2016). The UK Secure eResearch Platform for public health research: a case study. The Lancet, 388, S62
https://doi.org/10.1016/s0140-6736(16)32298-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32033
Porter, A., Bardsley, M., Ford, D., Grenfell, J., Heaven, M., Morrison-Rees, S., Oades, J., Sewell, B., Tingay, K., & Watkins, A. (2016). TIMELY SOCIAL CARE AND EMERGENCY HOSPITAL ADMISSIONS. Emergency Medicine Journal, 33(9), 678-678.
https://doi.org/10.1136/emermed-2016-206139.4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32028
Middleton, R., Ford, D., Akbari, A., Lockhart-Jones, H., Jones, J., Hughes, S., & Owen, C. (2016). Natural language processing to capture MS clinical data. Multiple Sclerosis Journal, 22(3_suppl), 717-717.
https://doi.org/10.1177/1352458516663067, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44549
Lloyd, K., McGregor, J., John, A., Craddock, N., Walters, J., Linden, D., Jones, I., Bentall, R., Lyons, R., Ford, D., & Owen, M. (2015). A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: Overview, recruitment and linkage. Schizophrenia Research, 166(1-3), 131-136.
https://doi.org/10.1016/j.schres.2015.05.036, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa22303
Lyons, R., Ford, D., & Jones, K. (2014). The Secure Anonymised Information Linkage (SAIL) system in Wales has privacy protection at its heart. BMJ, 348(apr03 1), g2384-g2384.
https://doi.org/10.1136/bmj.g2384, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43718
John, A., Dennis, M., Kosnes, L., Gunnell, D., Scourfield, J., Ford, D., & Lloyd, K. (2014). Suicide Information Database-Cymru: a protocol for a population-based, routinely collected data linkage study to explore risks and patterns of healthcare contact prior to suicide to identify opportunities for intervention. BMJ Open, 4(11), e006780-e006780.
https://doi.org/10.1136/bmjopen-2014-006780, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20296
Flachenecker, P., Buckow, K., Pugliatti, M., Kes, V., Battaglia, M., Boyko, A., Confavreux, C., Ellenberger, D., Eskic, D., Ford, D., Friede, T., Fuge, J., Glaser, A., Hillert, J., Holloway, E., Ioannidou, E., Kappos, L., Kasilingam, E., Koch-Henriksen, N...., & Consortium*), . (2014). Multiple sclerosis registries in Europe – results of a systematic survey. Multiple Sclerosis Journal, 20(11), 1523-1532.
https://doi.org/10.1177/1352458514528760, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61479
Jones, K., Ford, D., Jones, C., Dsilva, R., Ellwood-Thompson, S., Brooks, C., Heaven, M., Thayer, D., McNerney, C., & Lyons, R. (2014). A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: A privacy-protecting remote access system for health-related research and evaluation. Journal of Biomedical Informatics, 50, 196-204.
https://doi.org/10.1016/j.jbi.2014.01.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa17071
Jones, K., Jones, P., Middleton, R., Ford, D., Tuite-Dalton, K., Lockhart-Jones, H., Peng, J., Lyons, R., John, A., & Noble, G. (2014). Physical Disability, Anxiety and Depression in People with MS: An Internet-Based Survey via the UK MS Register. PLoS ONE, 9(8), e104604
https://doi.org/10.1371/journal.pone.0104604, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18808
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0104604&type=printable
Osborne, L., Noble, G., Maramba, I., Jones, K., Middleton, R., Lyons, R., Ford, D., & Reed, P. (2014). Outcome measures for multiple sclerosis. Physical Therapy Reviews, 19(1), 24-38.
https://doi.org/10.1179/1743288x13y.0000000094, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18316
Jones, K., McNerney, C., & Ford, D. (2014). Involving consumers in the work of a data linkage research unit. International Journal of Consumer Studies, 38(1), 45-51.
https://doi.org/10.1111/ijcs.12062, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16840
Osborne, L., Lockhart-Jones, H., Middleton, R., Thompson, S., Maramba, I., Jones, K., Ford, D., & Noble, J. (2013). Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics, 8(1), 1-16.
https://doi.org/10.4018/jhisi.2013010101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16842
Lyons, R., Moore, L., Rodgers, S., & Ford, D. (2013). Use of data linkage to measure the population health effect of non-health-care interventions. The Lancet, 383(9927), 1517-1519.
https://doi.org/10.1016/S0140-6736(13)61750-X, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20208
Middleton, R., Osborne, L., Middleton, R., Jones, K., Ford, D., Noble, J., & Noble, G. (2013). Desirability and expectations of the UK MS Register: Views of people with MS. International Journal of Medical Informatics
https://doi.org/10.1016/j.ijmedinf.2013.07.005, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15873
http://www.sciencedirect.com/science/article/pii/S1386505613001603
Jones, K., Ford, D., Jones, P., John, A., Middleton, R., Lockhart-Jones, H., Peng, J., Osborne, L., & Noble, G. (2013). How People with Multiple Sclerosis Rate Their Quality of Life: An EQ-5D Survey via the UK MS Register. PLoS ONE, 8(6), e65640
https://doi.org/10.1371/journal.pone.0065640, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16841
Middleton, R., Osborne, L., Lockhart-Jones, H., Middleton, R., Thompson, S., Maramba, I., Jones, K., Ford, D., Noble, J., & Noble, G. (2013). Identifying and Addressing the Barriers to the Use of an Internet-Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics, 8(1)-16.
https://doi.org/10.4018/jhisi.2013010101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15161
Jones, K., Ford, D., Jones, P., John, A., Middleton, R., Lockhart-Jones, H., Peng, J., Osborne, L., Noble, G., & Jones, P. (2013). The Physical and Psychological Impact of Multiple Sclerosis Using the MSIS-29 via the Web Portal of the UK MS Register. PLoS ONE, 8(1), e55422
https://doi.org/10.1371/journal.pone.0055422, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16846
Lyons, R., Hutchings, H., Rodgers, S., Hyatt, M., Demmler, J., Gabbe, B., Brooks, C., Brophy, S., Jones, K., Ford, D., Paranjothy, S., Fone, D., Dunstan, F., Evans, A., Kelly, M., Watkins, W., Maddocks, A., Barnes, P., James-Ellison, M...., & Healy, M. (2012). Development and use of a privacy-protecting total population record linkage system to support observational, interventional, and policy relevant research. The Lancet, 380, S6
https://doi.org/10.1016/S0140-6736(13)60362-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16843
Middleton, R., Ford, D., Jones, K., Middleton, R., Lockhart-Jones, H., Maramba, I., Noble, G., Osborne, L., & Lyons, R. (2012). The feasibility of collecting information from people with Multiple Sclerosis for the UK MS Register via a web portal: characterising a cohort of people with MS. BMC Medical Informatics and Decision Making, 12(1), 73
https://doi.org/10.1186/1472-6947-12-73, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11798
Middleton, R., Noble, J., Osborne, L., Jones, K., Middleton, R., Ford, D., Noble, G., Jones, K., & Ford, D. (2012). Commentary on 'Disability outcome measures in multiple sclerosis clinical trials'. Multiple Sclerosis Journal, 18(12), 1718-1720.
https://doi.org/10.1177/1352458512457847, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12133
Middleton, R., Osborne, L., Noble, J., Lockhart-Jones, H., Middleton, R., Ellwood-Thompson, S., Maramba, I., Jones, K., Ford, D., & Noble, G. (2012). Sources of Discovery, Reasons for Registration, and Expectations of an Internet-Based Register for Multiple Sclerosis. International Journal of Healthcare Information Systems and Informatics, 7(3), 27-43.
https://doi.org/10.4018/jhisi.2012070103, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa12357
Lyons, R., Macey, S., Turner, S., & Ford, D. (2012). DEVELOPMENT OF A RECORD LINKAGE SYSTEM TO SUPPORT INJURY SURVEILLANCE AND THE EVALUATION OF INTERVENTIONS. Injury Prevention, 18(Suppl 1), A22.3-A23.
https://doi.org/10.1136/injuryprev-2012-040580b.26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61888
Jones, K., Ford, D., Jones, P., John, A., Middleton, R., Lockhart-Jones, H., Osborne, L., & Noble, G. (2012). A Large-Scale Study of Anxiety and Depression in People with Multiple Sclerosis: A Survey via the Web Portal of the UK MS Register. PLoS ONE, 7(7), e41910
https://doi.org/10.1371/journal.pone.0041910, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16849
Cascade, E., Ford, D., Nixon, M., Brooks, C., & Heaven, M. (2012). PCV124 Combining Electronic Health Records and Patient-Reported Information in the UK: Preliminary Results from Wasps (Wales Sail + Pro Study). Value in Health, 15(4), A134-A135.
https://doi.org/10.1016/j.jval.2012.03.1393, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61889
Stephens, J., Carman, J., Brooks, C., Lyons, R., Ford, D., Price, D., Bain, S., Brooks, C., Stephens, J., Ford, D., & Lyons, R. (2011). Comment on: Polonsky et al. Structured Self-Monitoring of Blood Glucose Significantly Reduces A1C Levels in Poorly Controlled, Noninsulin-Treated Type 2 Diabetes: Results From the Structured Testing Program Study. Diabetes Care 2011;34:262-267. Diabetes Care, 34(5), e57-e57.
https://doi.org/10.2337/dc11-0258, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10696
http://care.diabetesjournals.org/content/34/5/e57.full
Brooks, C., Lyons, R., Jones, K., Hutton, A., Walker, R., Evans, K., Lloyd, K., & Ford, D. (2010). The prescribed duration algorithm: utilising ‘free text’ from multiple primary care electronic systems. Pharmacoepidemiology and Drug Safety, 19(9), 983-989.
https://doi.org/10.1002/pds.2012, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10514
Atkinson, M., Brophy, S., Siebert, S., Gravenor, M., Phillips, C., Ford, D., Jones, K., & Lyons, R. (2010). Protocol for a population-based Ankylosing Spondylitis (PAS) cohort in Wales. BMC Musculoskeletal Disorders, 11(1)
https://doi.org/10.1186/1471-2474-11-197, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14774
Drummond, C., Coulton, S., James, D., Godfrey, C., Parrott, S., Baxter, J., Ford, D., Lervy, B., Rollnick, S., Russell, I., Peters, T., & Ford, D. (2009). Effectiveness and cost-effectiveness of a stepped care intervention for alcohol use disorders in primary care: pilot study. The British Journal of Psychiatry, 195(5), 448-456.
https://doi.org/10.1192/bjp.bp.108.056697, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16857
Rodgers, S., Lyons, R., Dsilva, R., Jones, K., Brooks, C., Ford, D., John, G., Verplancke, J., Brooks, C., Rodgers, S., Jones, K., Ford, D., & Lyons, R. (2009). Residential Anonymous Linking Fields (RALFs): a novel information infrastructure to study the interaction between the environment and individuals' health. Journal of Public Health, 31(4), 582-588.
https://doi.org/10.1093/pubmed/fdp041, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10313
http://www.ncbi.nlm.nih.gov/pubmed/19447812
Lyons, R., Jones, K., John, G., Brooks, C., Verplancke, J., Ford, D., Brown, G., & Leake, K. (2009). The SAIL databank: linking multiple health and social care datasets. BMC Medical Informatics and Decision Making, 9(1), 3
https://doi.org/10.1186/1472-6947-9-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10513
Brooks, C., Stephens, J., Price, D., Ford, D., Lyons, R., Prior, S., Bain, S., Brooks, C., & Lyons, R. (2009). Use of a patient linked data warehouse to facilitate diabetes trial recruitment from primary care. Primary Care Diabetes, 3(4), 245-248.
https://doi.org/10.1016/j.pcd.2009.06.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10726
http://www.primary-care-diabetes.com/article/S1751-9918(09)00048-5/abstract
Ford, D., Jones, K., Verplancke, J., Lyons, R., John, G., Brown, G., Brooks, C., Bodger, O., Ellwood-Thompson, S., Couch, T., & Leake, K. (2009). The SAIL Databank: building a national architecture for e-health research and evaluation. BMC Health Services Research, 9(1), 157
https://doi.org/10.1186/1472-6963-9-157, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10439
http://dx.doi.org/10.1186/1472-6963-9-157
Brooks, C., Tang, T., Ford, D., Lyons, R., Price, D., Bain, S., & Stephens, J. (2009). Are blood pressure levels taken during a secondary care diabetic clinic likely to be higher than when measured in primary care?. Primary Care Diabetes, 3(3), 193-195.
https://doi.org/10.1016/j.pcd.2009.06.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10911
http://dx.doi.org/10.1016/j.pcd.2009.06.001
Williams, J., Ford, D., & Yapp, T. (1993). Capturing clinical activity--coming to terms with information. Gut, 34(12), 1651-1652.
https://doi.org/10.1136/gut.34.12.1651, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61878

Conference Contributions

Johnson, R., North, L., Alrouh, B., John, A., Jones, K., Akbari, A., Smart, J., Ellwood-Thompson, S., Hargreaves, C., Doebler, S., Cusworth, L., Broadhurst, K., Ford, D., & Griffiths, L. (2022). A population-level study into health vulnerabilities of mothers and fathers involved in public law care proceedings in Wales, UK.. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v7i3.2003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61236
Orton, C., Ford, D., Sheikh, A., Norrie, J., Fletcher, M., Quint, J., Tobin, M., & Hall, I. (2020). Unifying the UK’S Data for Respiratory Science: BREATHE, The Health Data Research UK (HDR UK) Respiratory Health Data Research Hub. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1433, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56498
Wong, S., Schuckel, V., Ellwood-Thompson, S., Ford, D., Lyons, R., & Hier, R. (2020). British Columbia’s Health Data Platform: Unleashing the Power of a Data Environment Commons for Health and Health System Improvement. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v5i5.1477, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61817
Alrouh, B., Broadhurst, K., Griffiths, L., Johnson, R., Cusworth, L., Bedston, S., Akbari, A., Jones, K., & Ford, D. (2019). Born into Care: characterising newborn babies and infants in care proceedings in England and Wales. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1285, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53652
Griffiths, L., Johnson, R., Cusworth, L., Akbari, A., Alrouh, B., Bedston, S., Harwin, J., Jones, K., Smart, J., Ellwood-Thompson, S., Ford, D., & Broadhurst, K. (2019). The Nuffield Family Justice Observatory Data Partnership. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1279, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53658
Thayer, D., Elmessary, M., Mallory, D., Arnold, P., Cichowski, M., Brooks, C., Rees, S., Wang, T., Collins, H., & Ford, D. (2019). Repeatable Research Infrastructure Enabling Administrative Data Analysis. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1268, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61887
Middleton, R., Allen-Philby, K., Schmierer, K., Espasandin, M., C.Roberts, ., Nicholas, R., Rodgers, J., Lockhart-Jones, H., Tuite-Dalton, K., & Ford, D. (2019). 175 A model for participant engagement in research: the MS register. In Journal of Neurology, Neurosurgery and Psychiatry (pp. e46BMJ.
https://doi.org/10.1136/jnnp-2019-ABN-2.155, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61927
https://jnnp.bmj.com/content/90/12/e46.3.info
Jones, K. & Ford, D. (2019). LINKAGE: Factors in selecting a data linkage approach. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v4i3.1175, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53730
Jorm, L., McGrail, K., Victor, J., Jones, K., Ford, D., & Churches, T. (2018). Secure data analysis environments: can we agree on criteria for “Appropriate secure access” to linked health data?. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i4.836, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53726
Orton, C., North, L., Orton, C., Gallacher, J., Bauermeister, S., Akbari, A., Ford, D., Lyons, R., & Ellwood-Thompson, S. (2018). Data Services for Cohort Studies: Increasing the impact of existing research studies and epidemiological readiness. In International Journal of Population Data ScienceIPDLN 2018 conference.
https://doi.org/10.23889/ijpds.v3i4.698, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa44396
Orton, C., Gallacher, J., Lyons, R., Ford, D., Ellwood-Thompson, S., Mackay, C., Williams, J., Bauermeister, S., Menzies, G., South, M., Biddle, J., Bale, M., & North, L. (2018). Dementias Platform UK (DPUK) Data Portal - World-leading infrastructure facilitating innovative multi-modal research. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i4.702, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56512
Jones, K., Daniels, H., Heys, S., & Ford, D. (2018). Towards an ethically-founded framework for the use of mobile phone CDRs in health research. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i4.608, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa45866
Orton, C., Gallacher, J., Lyons, R., Ford, D., Ellwood-Thompson, S., & Bauermeister, S. (2018). Dementias Platform UK (DPUK) Data Portal - supporting multi-modal data analysis, data linkage and real-world outcomes. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v3i2.538, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56514
Middleton, R., Ford, D., & Naeh, D. (2017). iConsent an Electronic Consent Platform with the MS Register. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.363, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53023
Jones, K., Laurie, G., Stevens, L., Dobbs, C., Ford, D., & Lea, N. (2017). The other side of the coin: harm due to the non-use of health-related data. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.52, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34916

Other Research Outputs

Alrouh, B., Abouelenin, M., Broadhurst, K., Cowley, L., Doebler, S., Farr, I., Cusworth, L., North, L., Hargreaves, C., Akbari, A., Griffiths, L., & Ford, D. (2022). Mothers in recurrent care proceedings: New evidence for England and Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62056
https://www.birthcompanions.org.uk/resources/mothers-in-recurrent-care-proceedings-new-evidence-for-england-and-wales
Doebler, S., Alrouh, B., Broadhurst, K., Bedston, S., Cusworth, L., Akbari, A., Ford, D., & Griffiths, L. (2021). Explaining high rates of infants in care proceedings in deprived areas of Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57700
https://www.nuffieldfjo.org.uk/resource/infants-care-proceedings-deprived-wales
Johnson, R., Alrouh, B., Broadhurst, K., Ford, D., John, A., Jones, K., Cusworth, L., Akbari, A., Smart, J., Ellwood-Thompson, S., & Griffiths, L. (2021). Health vulnerabilities of parents in care proceedings in Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57701
https://www.nuffieldfjo.org.uk/resource/health-vulnerabilities-parents-care-proceedings
Doebler, S., Alrouh, B., Broadhurst, K., Bedston, S., Cusworth, L., Akbari, A., Ford, D., & Griffiths, L. (2021). Born into Care: Unpacking the Impact of Area-Level Deprivation in Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61926
https://www.cfj-lancaster.org.uk/files/documents/BiC_dep_Wales_report.pdf
Griffiths, L., Johnson, R., Akbari, A., & Ford, D. (2021). Newborn babies in urgent care proceedings in England and Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57035
https://www.nuffieldfjo.org.uk/resource/newborn-babies-urgent-care-proceedings
Griffiths, L., Johnson, R., Broadhurst, K., Cusworth, L., Bedson, S., Akbari, A., Lee, A., Alrough, B., Doebler, S., John, A., & Ford, D. (2020). Born into care: One thousand mothers in care proceedings in Wales
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55046
https://www.nuffieldfjo.org.uk/resource/1000-mothers-care-proceedings-wales
Jones, K. & Ford, D. (2018). Privacy, confidentiality and practicalities in data linkage. National Statistical Quality Review
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53688
https://gss.civilservice.gov.uk/policy-store/privacy-and-data-confidentiality-methods-a-national-statisticians-quality-review-nsqr/#privacy-confidentiality-and-practicalities-in-data-linkage
Jones, K., Ford, D., & Lyons, R. (2017). The SAIL Databank: 10 years of spearheading data privacy and research utility, 2007-2017
https://doi.org/10.23889/sail-databank.1001101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34918

Taught Modules

PM-344 Capstone Project

The aim of this module is to provide a capstone experience to students¿ learning, through participating in their own enquiry-based research project, with guidance from an academic supervisor. The project may be laboratory or non-laboratory based, but it will always involve a research question that is drawn from the literature, and focused on a topic relevant to the life sciences. It will ask a research question and involve the critical analysis of research findings. Students will refine their oral and written communication skills to a graduate level through an oral presentation and dissertation on their research findings and conclusions.

Key Grants and Projects

EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems 2019 - 2028
Secure Anonymised Information Linkage (SAIL) Databank 2020 - 2025

Co-PI, with Professor Ronan Lyons
Administrative Data Research Centre Wales 2018 - 2025
Health Data Research UK 2018 - 2023
BREATHE - The Health Research Hub for Respiratory Health 2019 - 2022
Family Justice Data Partnership 2018 - 2022

Collaboration with Nuffield Foundation and Lancaster University, with Dr Lucy Griffiths, Rhodri Johnson
The UK Multiple Sclerosis Register 2019 - 2021

The UK MS Register is powered by the UK Secure e-Research Platform (UKSeRP), developed by the team at Population Data Science in Swansea University Medical School and funded by the Medical Research Council., with Rod Middleton
CHERISH-DE Centre – Challenging Human Environments and Research Impact for a Sustainable and Healthy Digital Economy 2015 - 2020

Affiliated Positions

Chief Data Officer, BREATHE - Health Data Research Hub for Respiratory Health

2018 - Present

Other Roles

Member of the Scientific Advisory Committee, Institute of Clinical Evaluative Sciences, Toronto, Canada

2015 - 2021
Co-Director, Nuffield Family Justice Observatory (Nuffield FJO) data partners

2018 - Present
Chair, Ministry of Justice’s Academic Advisory Group Data First Project

2018 - Present
Deputy Chair, Medical Research Council (MRC) Data Science Advisory Group

2021 - Present
Executive Director, International Journal of Population Data Science (IJPDS)

2016 - Present
Member, Medical Research Council (MRC) Strategy Board

2021 - Present
Member, UK Research and Innovation e-Infrastructure Expert Group

2018 - Present
Member, Research Council Norway, Medicine and Health Panel

2018 - Present
Member, Administrative Data Research UK Leadership Group

2018 - Present
Member , Economic and Social Research Council (ESRC) Population Research

2018 - Present
Member , Administrative Data Research (ADR) Northern Ireland Coordinating

2018 - Present
Member , Swansea Bay University Health Board R&D Committee

2018 - Present
Member , Genomic Partnership Wales Research and Innovation Group

2018 - Present
Member , Health and Care Research Wales Board

2018 - Present
Member , Nuffield Foundation Oliver Bird Panel

2018 - Present
Member , Versus Arthritis Strategy Group

2018 - Present
Director , MediWales Ltd

2002 - Present

Professor David Ford

Telephone number

Email address

Research Links

About

Areas Of Expertise

Career Highlights

Research Highlights

All Research

PM-344 Capstone Project

EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems 2019 - 2028

Secure Anonymised Information Linkage (SAIL) Databank 2020 - 2025

BREATHE - The Health Research Hub for Respiratory Health 2019 - 2022

CHERISH-DE Centre – Challenging Human Environments and Research Impact for a Sustainable and Healthy Digital Economy 2015 - 2020

Chief Data Officer, BREATHE - Health Data Research Hub for Respiratory Health

Member of the Scientific Advisory Committee, Institute of Clinical Evaluative Sciences, Toronto, Canada

Co-Director, Nuffield Family Justice Observatory (Nuffield FJO) data partners

Chair, Ministry of Justice’s Academic Advisory Group Data First Project

Deputy Chair, Medical Research Council (MRC) Data Science Advisory Group

Executive Director, International Journal of Population Data Science (IJPDS)

Member, Medical Research Council (MRC) Strategy Board

Member, UK Research and Innovation e-Infrastructure Expert Group

Member, Research Council Norway, Medicine and Health Panel

Member, Administrative Data Research UK Leadership Group

Member , Economic and Social Research Council (ESRC) Population Research

Member , Administrative Data Research (ADR) Northern Ireland Coordinating

Member , Swansea Bay University Health Board R&D Committee

Member , Genomic Partnership Wales Research and Innovation Group

Member , Health and Care Research Wales Board

Member , Nuffield Foundation Oliver Bird Panel

Member , Versus Arthritis Strategy Group

Director , MediWales Ltd