A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government
Publication
, Journal Article
Barrientos, A; Bolton, A; Balmat, T; Reiter, J; de Figueiredo, JM; Machanavajjhala, A; Chen, Y; Kneifel, C; DeLong, M
June 2017
Duke Scholars
Publication Date
June 2017
Citation
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Barrientos, A., Bolton, A., Balmat, T., Reiter, J., de Figueiredo, J. M., Machanavajjhala, A., … DeLong, M. (2017). A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government.
Barrientos, Andrés, Alexander Bolton, Tom Balmat, Jerome Reiter, John M. de Figueiredo, Ashwin Machanavajjhala, Yan Chen, Charles Kneifel, and Mark DeLong. “A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government,” June 2017.
Barrientos A, Bolton A, Balmat T, Reiter J, de Figueiredo JM, Machanavajjhala A, et al. A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government. 2017 Jun;
Barrientos, Andrés, et al. A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government. June 2017.
Barrientos A, Bolton A, Balmat T, Reiter J, de Figueiredo JM, Machanavajjhala A, Chen Y, Kneifel C, DeLong M. A Framework for Sharing Confidential Research Data, Applied to Investigating Differential Pay by Race in the U. S. Government. 2017 Jun;
Publication Date
June 2017