DataSHIELD: taking the analysis to the data, not the data to the analysis

@article{Gaye2014DataSHIELDTT,
  title={DataSHIELD: taking the analysis to the data, not the data to the analysis},
  author={A. Gaye and Y. Marcon and J. Isaeva and Philippe Laflamme and Andrew Turner and E. Jones and Joel T. Minion and A. Boyd and Christopher Newby and Marja-Liisa Nuotio and Rebecca C Wilson and Oliver Butters and B. Murtagh and I. Demir and D. Doiron and Lisette Giepmans and S. Wallace and I. Budin-Lj{\o}sne and Carsten Oliver Schmidt and P. Boffetta and M. Boniol and M. Bota and K. Carter and N. deKlerk and C. Dibben and R. Francis and T. Hiekkalinna and K. Hveem and K. Kval{\o}y and S. Millar and I. Perry and Annette Peters and C. Phillips and F. Popham and G. Raab and E. Reischl and N. Sheehan and M. Waldenberger and M. Perola and E. R. van den Heuvel and J. Macleod and B. Knoppers and R. Stolk and I. Fortier and Jennifer R. Harris and Bruce HR Woffenbuttel and M. Murtagh and V. Ferretti and P. Burton},
  journal={International Journal of Epidemiology},
  year={2014},
  volume={43},
  pages={1929 - 1944}
}
Background: Research in modern biomedicine and social science requires sample sizes so large that they can often only be achieved through a pooled co-analysis of data from several studies. But the pooling of information from individuals in a central database that may be queried by researchers raises important ethico-legal questions and can be controversial. In the UK this has been highlighted by recent debate and controversy relating to the UK’s proposed ‘care.data’ initiative, and these issues… Expand
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References

SHOWING 1-10 OF 67 REFERENCES
Protecting Personal Data in Epidemiological Research: DataSHIELD and UK Law
Quality, quantity and harmony: the DataSHaPER approach to integrating data across bioclinical studies
DataSHIELD: resolving a conflict in contemporary bioscience—performing a pooled analysis of individual-level data without sharing the data
O3-5.4 Datashield: individual-level meta-analysis without sharing the data
Sharing research data to improve public health
Securing the Data Economy: Translating Privacy and Enacting Security in the Development of DataSHIELD
Data harmonization and federated analysis of population-based studies: the BioSHaRE project
...
1
2
3
4
5
...