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000300281 1001_ $$00000-0001-8908-2441$$aAvraam, Demetris$$b0
000300281 245__ $$aDataSHIELD: mitigating disclosure risk in a multi-site federated analysis platform.
000300281 260__ $$aOxford$$bOxford University Press$$c2025
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000300281 520__ $$aThe validity of epidemiologic findings can be increased using triangulation, i.e. comparison of findings across contexts, and by having sufficiently large amounts of relevant data to analyse. However, access to data is often constrained by practical considerations and by ethico-legal and data governance restrictions. Gaining access to such data can be time-consuming due to the governance requirements associated with data access requests to institutions in different jurisdictions.DataSHIELD is a software solution that enables remote analysis without the need for data transfer (federated analysis). DataSHIELD is a scientifically mature, open-source data access and analysis platform aligned with the 'Five Safes' framework, the international framework governing safe research access to data. It allows real-time analysis while mitigating disclosure risk through an active multi-layer system of disclosure-preventing mechanisms. This combination of real-time remote statistical analysis, disclosure prevention mechanisms, and federation capabilities makes DataSHIELD a solution for addressing many of the technical and regulatory challenges in performing the large-scale statistical analysis of health and biomedical data. This paper describes the key components that comprise the disclosure protection system of DataSHIELD. These broadly fall into three classes: (i) system protection elements, (ii) analysis protection elements, and (iii) governance protection elements.Information about the DataSHIELD software is available in https://datashield.org/ and https://github.com/datashield.
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000300281 7001_ $$00000-0003-2294-593X$$aWilson, Rebecca C$$b1
000300281 7001_ $$aAguirre Chan, Noemi$$b2
000300281 7001_ $$00000-0001-7748-9885$$aBanerjee, Soumya$$b3
000300281 7001_ $$00000-0002-3407-2526$$aBishop, Tom R P$$b4
000300281 7001_ $$00000-0003-0354-8461$$aButters, Olly$$b5
000300281 7001_ $$00000-0002-7682-5645$$aCadman, Tim$$b6
000300281 7001_ $$00000-0002-7601-9723$$aCederkvist, Luise$$b7
000300281 7001_ $$00000-0001-6731-9452$$aDuijts, Liesbeth$$b8
000300281 7001_ $$00000-0003-2888-8948$$aEscribà Montagut, Xavier$$b9
000300281 7001_ $$00000-0003-1707-0139$$aGarner, Hugh$$b10
000300281 7001_ $$aGonçalves, Gonçalo$$b11
000300281 7001_ $$00000-0003-3267-2146$$aGonzález, Juan R$$b12
000300281 7001_ $$aHaakma, Sido$$b13
000300281 7001_ $$aHartlev, Mette$$b14
000300281 7001_ $$00000-0002-4935-3312$$aHasenauer, Jan$$b15
000300281 7001_ $$00009-0004-4518-5704$$aHuth, Manuel$$b16
000300281 7001_ $$aHyde, Eleanor$$b17
000300281 7001_ $$00000-0003-2939-0041$$aJaddoe, Vincent W V$$b18
000300281 7001_ $$aMarcon, Yannick$$b19
000300281 7001_ $$00000-0001-6932-0473$$aMayrhofer, Michaela Th$$b20
000300281 7001_ $$aMolnar-Gabor, Fruzsina$$b21
000300281 7001_ $$00000-0003-4143-1977$$aMorgan, Andrei Scott$$b22
000300281 7001_ $$00000-0003-1073-6161$$aMurtagh, Madeleine$$b23
000300281 7001_ $$aNestor, Marc$$b24
000300281 7001_ $$00000-0002-4296-8488$$aNybo Andersen, Anne-Marie$$b25
000300281 7001_ $$0P:(DE-He78)74e2dc1dd47699163f6ea55e581542e4$$aParker, Simon$$b26$$udkfz
000300281 7001_ $$00000-0003-3593-8472$$aPinot de Moira, Angela$$b27
000300281 7001_ $$aSchwarz, Florian$$b28
000300281 7001_ $$aStrandberg-Larsen, Katrine$$b29
000300281 7001_ $$00000-0002-0979-3401$$aSwertz, Morris A$$b30
000300281 7001_ $$aWelten, Marieke$$b31
000300281 7001_ $$00009-0003-2419-1964$$aWheater, Stuart$$b32
000300281 7001_ $$00000-0001-5799-9634$$aBurton, Paul$$b33
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