Yr Athro David Ford

Athro Gwybodeg

Health Data Science

+44 (0) 1792 513404

d.v.ford@abertawe.ac.uk

402
Pedwerydd Llawr
Yr Adeilad Gwyddor Data
Campws Singleton

Dolenni Ymchwil

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

ResearchGate

Trosolwg

Yr Athro David Ford yw Athro Gwybodeg Prifysgol Abertawe a Chyfarwyddwr Gwyddor Data Poblogaethau yn Ysgol Feddygaeth Prifysgol Abertawe.

Mae'r Athro Ford wedi sicrhau mwy na £70m mewn prosiectau ymchwil newydd a grantiau isadeiledd a ddyfarnwyd gan gyllidwyr o fri dros y blynyddoedd diwethaf. Ef yw Prif Ymchwilydd Ymchwil Data Gweinyddol (ADRC) Cymru, sef buddsoddiad gwerth £7.2m yng Nghymru gan y Cyngor Ymchwil Economaidd a Chymdeithasol (ESRC) fel rhan o'i fenter Data Mawr. Ef yw Prif Ymchwilydd Cofrestr Sglerosis Ymledol y DU (a ariennir gan MS Society); Prif Ymchwilydd ar y Cyd y Bartneriaeth Data Cyfiawnder Teuluol (a ariennir gan Ymddiriedolaeth Nuffield); Dirprwy Gyfarwyddwr HDR UK yng Nghymru a Gogledd Iwerddon; Prif Swyddog Data BREATHE – Hyb Ymchwil Iechyd Anadlol.

Yr Athro Ford yw Cyd-sylfaenydd a Chyfarwyddwr Banc Data SAIL, a SeRP (y Platfform e-Ymchwil Diogel), a ddefnyddir yn fwyfwy gan ymchwilwyr a cheidwaid data ledled y byd er mwyn curadu a rhannu'r data'n ddiogel.

Meysydd Arbenigedd

Gwybodeg Iechyd
e-Iechyd
Gwasanaethau Iechyd
Iechyd Poblogaethau
Diogelu Data a Phreifatrwydd
Dadansoddi Data Mawr
Data gweinyddol

Uchafbwyntiau Gyrfa

Diddordebau Addysgu

Mae'r Athro Ford yn addysgu isadeiledd data, ailddefnyddio data at ddibenion ymchwil, a llywodraethu gwybodaeth.

Ymchwil Prif Wobrau

Cyhoeddiadau

Uchafbwyntiau Ymchwil

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
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Holl Ymchwil

Erthyglau Cylchgronau

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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.
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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
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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

Cyfraniadau Cynadleddau

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

Cynnyrch Ymchwil Arall

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

Modiwlau a Addysgir

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.

Grantiau a Phrosiectau Allweddol

Canolfan y Cyngor Ymchwil Peirianneg a'r Gwyddorau Ffisegol (EPSRC) ar gyfer Hyfforddiant Doethurol mewn Gwella Rhyngweithiadau a Chydweithrediadau Dynol â Data a Systemau wedi'u llywio gan Ddeallusrwydd 2019 - 2028
Banc Data Cyswllt Gwybodaeth Ddienw Diogel (SAIL) 2020 - 2025

, with Prif Ymchwilydd ar y cyd â'r Athro Ronan Lyons
Canolfan Ymchwil Data Gweinyddol Cymru 2018 - 2025

, with Prif Ymchwilydd ar y cyd â'r Athro Ronan Lyons
Health Data Research UK 2018 - 2023

Cydweithrediad ag Ymddiriedolaeth Nuffield a Phrifysgol Lancaster , with Gyda Dr Lucy Griffiths, Rhodri Johnson
BREATHE – Hyb Ymchwil Data Iechyd ar gyfer Iechyd Anadlol 2019 - 2022
Partneriaeth Data Cyfiawnder Teuluol 2018 - 2022

Mewn partneriaeth â Sefydliad Nuffield a Phrifysgol Caerhirfryn, with Dr Lucy Griffiths, Rhodri Johnson
Cofrestr Sglerosis Ymledol y DU 2019 - 2021

Mae Cofrestr Sglerosis Ymledol y DU wedi’i phweru gan Blatfform e-Ymchwil Diogel y DU (UKSeRP), a gafodd ei ddatblygu gan y tîm Gwyddor Data Poblogaethau yn Ysgol Feddygaeth Prifysgol Abertawe a’i ariannu gan y Cyngor Ymchwil Feddygol , Gyda Rod Middleton
Canolfan CHERISH-DE – Amgylcheddau Dynol Heriol ac Effaith Ymchwil ar gyfer Economi Ddigidol Gynaliadwy ac Iach 2015 - 2020

Swyddi Cysylltiedig

Prif Swyddog Data , BREATHE – Hyb Ymchwil Data Iechyd ar gyfer Iechyd Anadlol

2018 - Presennol

Rolau Eraill

Aelod o’r Pwyllgor Cynghori Gwyddonol , Sefydliad y Gwyddorau Gwerthusol Clinigol, Toronto, Canada

2015 - 2021
Cyd-gyfarwyddwr , Partneriaid data Arsyllfa Cyfiawnder Teuluol Nuffield (Nuffield

2018 - Presennol
Cadeirydd, Prosiect Data First Grŵp Cynghori Academaidd y Weinyddiaeth Cyfi

2018 - Presennol
Dirprwy gadeirydd, Grŵp Cynghori Gwyddor Data y Cyngor Ymchwil Feddygol

2021 - Presennol
Cyfarwyddwr Gweithredol , International Journal of Population Data Science (IJPDS)

2016 - Presennol
Aelod , Bwrdd Strategol y Cyngor Ymchwil Feddygol

2021 - Presennol
Aelod , Grŵp Arbenigol e-Seilwaith Ymchwil ac Arloesi yn y DU (UKRI)

2018 - Presennol
Aelod , Panel Meddygaeth ac Iechyd Cyngor Ymchwil Norwy

2018 - Presennol
Aelod, Grŵp Arweinyddiaeth Ymchwil Data Gweinyddol y DU (ADR UK)

2018 - Presennol
Aelod, Ymchwil Poblogaethau’r Cyngor Ymchwil Economaidd a Chymdeithasol

2018 - Presennol
Aelod, Cydlynu Ymchwil Data Gweinyddol (ADR) Gogledd Iwerddon

2018 - Presennol
Aelod , Pwyllgor Ymchwil a Datblygu Bwrdd Iechyd Prifysgol Bae Abertawe

2018 - Presennol
Aelod, Grŵp Ymchwil ac Arloesi Partneriaeth Genomeg Cymru

2018 - Presennol
Aelod, Bwrdd Ymchwil Iechyd a Gofal Cymru

2018 - Presennol
Aelod, Panel Oliver Bird Ymddiriedolaeth Nuffield

2018 - Presennol
Aelod, Grŵp Strategaeth Versus Arthritis

2018 - Presennol
Cyfarwyddwr , MediWales Ltd

2002 - Presennol

Yr Athro David Ford

Rhif ffôn

Cyfeiriad ebost

Dolenni Ymchwil

Trosolwg

Meysydd Arbenigedd

Uchafbwyntiau Gyrfa

Uchafbwyntiau Ymchwil

Holl Ymchwil

PM-344 Capstone Project

Canolfan y Cyngor Ymchwil Peirianneg a'r Gwyddorau Ffisegol (EPSRC) ar gyfer Hyfforddiant Doethurol mewn Gwella Rhyngweithiadau a Chydweithrediadau Dynol â Data a Systemau wedi'u llywio gan Ddeallusrwydd 2019 - 2028

Banc Data Cyswllt Gwybodaeth Ddienw Diogel (SAIL) 2020 - 2025

Canolfan Ymchwil Data Gweinyddol Cymru 2018 - 2025

Health Data Research UK 2018 - 2023

BREATHE – Hyb Ymchwil Data Iechyd ar gyfer Iechyd Anadlol 2019 - 2022

Cofrestr Sglerosis Ymledol y DU 2019 - 2021

Canolfan CHERISH-DE – Amgylcheddau Dynol Heriol ac Effaith Ymchwil ar gyfer Economi Ddigidol Gynaliadwy ac Iach 2015 - 2020

Prif Swyddog Data , BREATHE – Hyb Ymchwil Data Iechyd ar gyfer Iechyd Anadlol

Aelod o’r Pwyllgor Cynghori Gwyddonol , Sefydliad y Gwyddorau Gwerthusol Clinigol, Toronto, Canada

Cyd-gyfarwyddwr , Partneriaid data Arsyllfa Cyfiawnder Teuluol Nuffield (Nuffield

Cadeirydd, Prosiect Data First Grŵp Cynghori Academaidd y Weinyddiaeth Cyfi

Dirprwy gadeirydd, Grŵp Cynghori Gwyddor Data y Cyngor Ymchwil Feddygol

Cyfarwyddwr Gweithredol , International Journal of Population Data Science (IJPDS)

Aelod , Bwrdd Strategol y Cyngor Ymchwil Feddygol

Aelod , Grŵp Arbenigol e-Seilwaith Ymchwil ac Arloesi yn y DU (UKRI)

Aelod , Panel Meddygaeth ac Iechyd Cyngor Ymchwil Norwy

Aelod, Grŵp Arweinyddiaeth Ymchwil Data Gweinyddol y DU (ADR UK)

Aelod, Ymchwil Poblogaethau’r Cyngor Ymchwil Economaidd a Chymdeithasol

Aelod, Cydlynu Ymchwil Data Gweinyddol (ADR) Gogledd Iwerddon

Aelod , Pwyllgor Ymchwil a Datblygu Bwrdd Iechyd Prifysgol Bae Abertawe

Aelod, Grŵp Ymchwil ac Arloesi Partneriaeth Genomeg Cymru

Aelod, Bwrdd Ymchwil Iechyd a Gofal Cymru

Aelod, Panel Oliver Bird Ymddiriedolaeth Nuffield

Aelod, Grŵp Strategaeth Versus Arthritis

Cyfarwyddwr , MediWales Ltd