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dc.contributor.authorBanerjee, Soumya
dc.contributor.authorBishop, Tom RP
dc.date.accessioned2022-06-29T19:47:05Z
dc.date.available2022-06-29T19:47:05Z
dc.date.issued2022-06-27
dc.date.submitted2022-02-11
dc.identifier.issn1756-0500
dc.identifier.others13104-022-06111-2
dc.identifier.other6111
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338532
dc.description.abstractOBJECTIVE: Platforms such as DataSHIELD allow users to analyse sensitive data remotely, without having full access to the detailed data items (federated analysis). While this feature helps to overcome difficulties with data sharing, it can make it challenging to write code without full visibility of the data. One solution is to generate realistic, non-disclosive synthetic data that can be transferred to the analyst so they can perfect their code without the access limitation. When this process is complete, they can run the code on the real data. RESULTS: We have created a package in DataSHIELD (dsSynthetic) which allows generation of realistic synthetic data, building on existing packages. In our paper and accompanying tutorial we demonstrate how the use of synthetic data generated with our package can help DataSHIELD users with tasks such as writing analysis scripts and harmonising data to common scales and measures.
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.subjectResearch Note
dc.subjectSynthetic data
dc.subjectData harmonisation
dc.subjectFederated analysis
dc.titledsSynthetic: synthetic data generation for the DataSHIELD federated analysis system.
dc.typeOther
dc.date.updated2022-06-29T19:47:05Z
prism.issueIdentifier1
prism.publicationNameBMC Res Notes
prism.volume15
dc.identifier.doi10.17863/CAM.85945
dcterms.dateAccepted2022-06-15
rioxxterms.versionofrecord10.1186/s13104-022-06111-2
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidBanerjee, Soumya [0000-0001-7748-9885]
dc.identifier.eissn1756-0500
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Societal Challenges (824989)
cam.issuedOnline2022-06-27


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