Research outputs
Selected research outputs
- Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems (Report - 2025)
- DataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform (Journal article - 2024)
- Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform (Journal article - 2024)
- Reconciling the biomedical data commons and the GDPR: three lessons from the EUCAN ELSI collaboratory (Journal article - 2024)
- Life course of retrospective harmonization initiatives: key elements to consider. (Journal article - 2022)
- Recognizing, reporting and reducing the data curation debt of cohort studies (Journal article - 2020)
- The ECOUTER methodology for stakeholder engagement in translational research (Journal article - 2017)
- DataSHIELD: taking the analysis to the data, not the data to the analysis (Journal article - 2014)
- The Biomedical Research Infrastructure Software as a Service Kit (BRISSKit): Technical description [version 1; referees: 1 approved with reservations] (Journal article - 2016)
2026
dsBase: 'DataSHIELD' Server Side Base Functions
Burton, P., Wilson, R., Butters, O., Ryser, W., Westerberg, A., Abarrategui, L., . . . Wheater, S. (n.d.). dsBase: 'DataSHIELD' Server Side Base Functions [R]. Retrieved from https://cran.r-project.org/package=dsBase
Advancing Data Sovereignty in Africa: Deploying DataSHIELD to Federate Cross-Border Data Silos within the Data Science Without Borders Initiative
2025
rocrateR: Tools for Creating and Manipulating RO-Crates
Villegas-Diaz, R., Wilson, R., Butters, O., & Wheater, S. (2025). rocrateR: Tools for Creating and Manipulating RO-Crates [Computer Software]. The R Foundation. doi:10.32614/cran.package.rocrater
Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
Buchan, I., Ainsworth, J., Angione, C., Ardern, K., Atkinson, K., Ball, S., . . . Zhang, X. (2025). Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems (2025/03). https://www.thenhsa.co.uk/about/publications/: Northern Health Science Alliance. Retrieved from https://www.thenhsa.co.uk/
2024
DataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform
Avraam, D., Wilson, R. C., Aguirre Chan, N., Banerjee, S., Bishop, T. R. P., Butters, O., . . . Burton, P. (2024). DataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform. Bioinformatics Advances, 5(1). doi:10.1093/bioadv/vbaf046
MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD.
Cadman, T., Slofstra, M. K., van der Geest, M. A., Avraam, D., Bishop, T. R. P., de Boer, T., . . . Swertz, M. (2024). MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD.. Bioinformatics (Oxford, England), 41(1), btae726. doi:10.1093/bioinformatics/btae726
Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform
Escriba-Montagut, X., Marcon, Y., Anguita-Ruiz, A., Avraam, D., Urquiza, J., Morgan, A. S., . . . Gonzalez, J. R. (2024). Federated privacy-protected meta- and mega-omics data analysis in multi-center studies with a fully open-source analytic platform. PLOS COMPUTATIONAL BIOLOGY, 20(12), 22 pages. doi:10.1371/journal.pcbi.1012626
MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD
Green spaces and respiratory, cardiometabolic, and neurodevelopmental outcomes: An individual-participant data meta-analysis of > 35.000 European children
Fernandes, A., Avraam, D., Cadman, T., Dadvand, P., Guxens, M., Binter, A. -C., . . . Vrijheid, M. (2024). Green spaces and respiratory, cardiometabolic, and neurodevelopmental outcomes: An individual-participant data meta-analysis of > 35.000 European children. ENVIRONMENT INTERNATIONAL, 190, 14 pages. doi:10.1016/j.envint.2024.108853
Visualization and exploration of linked data using virtual reality
Kellmann, A. J., Postema, M., de Keijser, J., Svetachov, P., Wilson, R. C., van Enckevort, E. J., & Swertz, M. A. (2024). Visualization and exploration of linked data using virtual reality. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2024, 16 pages. doi:10.1093/database/baae008
Reconciling the biomedical data commons and the GDPR: three lessons from the EUCAN ELSI collaboratory
Bernier, A., Molnar-Gabor, F., Knoppers, B. M., Borry, P., Cesar, P. M. D. G., Devriendt, T., . . . Maxwell, L. (2024). Reconciling the biomedical data commons and the GDPR: three lessons from the EUCAN ELSI collaboratory. EUROPEAN JOURNAL OF HUMAN GENETICS, 32(1), 69-76. doi:10.1038/s41431-023-01403-y
2023
Adjusting expected deaths for mortality displacement during the COVID-19 pandemic: a model based counterfactual approach at the level of individuals.
Holleyman, R. J., Barnard, S., Bauer-Staeb, C., Hughes, A., Dunn, S., Fox, S., . . . Burton, P. (2023). Adjusting expected deaths for mortality displacement during the COVID-19 pandemic: a model based counterfactual approach at the level of individuals.. BMC medical research methodology, 23(1), 241. doi:10.1186/s12874-023-01984-8
Erratum: Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253, 810 singletons in 16 birth cohort studies (PLoS Med (2023) 20:1 (e1004036) DOI: 10.1371/journal.pmed.1004036)
Vinther, J. L., Cadman, T., Avraam, D., Ekstrøm, C. T., Sørensen, T. I. A., Elhakeem, A., . . . Andersen, A. M. N. (2023). Erratum: Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253, 810 singletons in 16 birth cohort studies (PLoS Med (2023) 20:1 (e1004036) DOI: 10.1371/journal.pmed.1004036). Plos Medicine, 20(4 April). doi:10.1371/journal.pmed.1004232
Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.
Vinther, J. L., Cadman, T., Avraam, D., Ekstrøm, C. T., I A Sørensen, T., Elhakeem, A., . . . Nybo Andersen, A. -M. (2023). Gestational age at birth and body size from infancy through adolescence: An individual participant data meta-analysis on 253,810 singletons in 16 birth cohort studies.. PLoS medicine, 20(1), e1004036. doi:10.1371/journal.pmed.1004036
Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR
Kellmann, A., Postema, M., de Keijser, J., Svetachov, P., Wilson, B., van Enckevort, E., & Swertz, M. A. (2023). Visualisation and Exploration of Linked Data Using Virtual Reality - a preview of Graph2VR. In Ceur Workshop Proceedings Vol. 3415 (pp. 153-154).
2022
Life course of retrospective harmonization initiatives: key elements to consider.
Fortier, I., Wey, T. W., Bergeron, J., Pinot de Moira, A., Nybo-Andersen, A. -M., Bishop, T., . . . Burton, P. (2022). Life course of retrospective harmonization initiatives: key elements to consider.. Journal of developmental origins of health and disease, 1-9. doi:10.1017/s2040174422000460
2021
Advancing tools for human early lifecourse exposome research and translation (ATHLETE)
Vrijheid, M., Basagana, X., Gonzalez, J. R., Jaddoe, V. W. V., Jensen, G., Keun, H. C., . . . Slama, R. (2021). Advancing tools for human early lifecourse exposome research and translation (ATHLETE). ENVIRONMENTAL EPIDEMIOLOGY, 5(5), 15 pages. doi:10.1097/EE9.0000000000000166
Privacy preserving data visualizations
Avraam, D., Wilson, R., Butters, O., Burton, T., Nicolaides, C., Jones, E., . . . Burton, P. (2021). Privacy preserving data visualizations. EPJ DATA SCIENCE, 10(1), 34 pages. doi:10.1140/epjds/s13688-020-00257-4
PUblications Metadata Augmentation (PUMA) pipeline
Butters, O. W., Wilson, R. C., Garner, H., & Burton, T. W. Y. (2021). PUblications Metadata Augmentation (PUMA) pipeline. F1000research, 9. doi:10.12688/f1000research.25484.2
2020
PUblications Metadata Augmentation (PUMA) pipeline
Butters, O. W., Wilson, R. C., Garner, H., & Burton, T. W. Y. (2020). PUblications Metadata Augmentation (PUMA) pipeline. F1000Research, 9. doi:10.12688/f1000research.25484.1
Recognizing, reporting and reducing the data curation debt of cohort studies
Butters, O. W., Wilson, R. C., & Burton, P. R. (2020). Recognizing, reporting and reducing the data curation debt of cohort studies. International Journal of Epidemiology. doi:10.1093/ije/dyaa087
2019
Associations between maternal physical activity in early and late pregnancy and offspring birth size: remote federated individual level meta-analysis from eight cohort studies
Pastorino, S., Bishop, T., Crozier, S. R., Granstrom, C., Kordas, K., Kupers, L. K., . . . Ong, K. K. (2019). Associations between maternal physical activity in early and late pregnancy and offspring birth size: remote federated individual level meta-analysis from eight cohort studies. BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 126(4), 459-470. doi:10.1111/1471-0528.15476
2018
Generation of a cleaned dataset listing Avon Longitudinal study of parents and children peer-reviewed publications to 2015.
Butters, O., Ismail, A., Thompson, S., & Wilson, R. (2018). Generation of a cleaned dataset listing Avon Longitudinal study of parents and children peer-reviewed publications to 2015.. Wellcome Open Research, 3. doi:10.12688/wellcomeopenres.14986.1
2017
DataSHIELD - New directions and dimensions
Wilson, R. C., Butters, O. W., Avraam, D., Baker, J., Tedds, J. A., Turner, A., . . . Burton, P. R. (2017). DataSHIELD - New directions and dimensions. Data Science Journal, 16. doi:10.5334/dsj-2017-021
The ECOUTER methodology for stakeholder engagement in translational research
Murtagh, M. J., Minion, J. T., Turner, A., Wilson, R. C., Blell, M., Ochieng, C., . . . Burton, P. R. (2017). The ECOUTER methodology for stakeholder engagement in translational research. BMC MEDICAL ETHICS, 18, 12 pages. doi:10.1186/s12910-017-0167-z
Digital Methodology to implement the ECOUTER engagement process
Wilson, R. C., Butters, O. W., Clark, T., Minion, J., Turner, A., & Murtagh, M. J. (2017). Digital Methodology to implement the ECOUTER engagement process. F1000research, 5. doi:10.12688/f1000research.8786.2
Synthetic ALSPAC longitudinal datasets for the Big Data VR project
Avraam, D., Wilson, R. C., & Burton, P. (2017). Synthetic ALSPAC longitudinal datasets for the Big Data VR project. Wellcome Open Research, 2. doi:10.12688/wellcomeopenres.12441.1
2016
Digital Methodology to implement the ECOUTER engagement process.
Wilson, R. C., Butters, O. W., Clark, T., Minion, J., Turner, A., & Murtagh, M. J. (2016). Digital Methodology to implement the ECOUTER engagement process.. F1000Research, 5, 1307. doi:10.12688/f1000research.8786.2
The Biomedical Research Infrastructure Software as a Service Kit (BRISSKit): Technical description [version 1; referees: 1 approved with reservations]
Butters, O. W., Issa, S., Lusted, J., Newbury, M., Parsloe, R., Holden, N., . . . Tedds, J. A. (2016). The Biomedical Research Infrastructure Software as a Service Kit (BRISSKit): Technical description [version 1; referees: 1 approved with reservations]. F1000Research, 5. doi:10.12688/F1000RESEARCH.8736.1
2014
DataSHIELD: taking the analysis to the data, not the data to the analysis
Gaye, A., Marcon, Y., Isaeva, J., LaFlamme, P., Turner, A., Jones, E. M., . . . Burton, P. R. (2014). DataSHIELD: taking the analysis to the data, not the data to the analysis. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 43(6), 1929-1944. doi:10.1093/ije/dyu188