DataSHIELD: An Ethically Robust Solution to Multiple-Site Individual-Level Data Analysis | Zendy

Isabelle BudinLjøsne | Zendy; Paul Burton | Zendy; Julia Isaeva | Zendy; Amadou Gaye | Zendy; Andrew Turner | Zendy; Madeleine J. Murtagh | Zendy; Susan Wallace | Zendy; Vincent Ferretti | Zendy; Jennifer R. Harris | Zendy

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DataSHIELD: An Ethically Robust Solution to Multiple-Site Individual-Level Data Analysis

Author(s) -

Isabelle BudinLjøsne,

Paul Burton,

Julia Isaeva,

Amadou Gaye,

Andrew Turner,

Madeleine J. Murtagh,

Susan Wallace,

Vincent Ferretti,

Jennifer R. Harris

Publication year - 2014

Publication title -

public health genomics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.701

H-Index - 51

eISSN - 1662-8063

pISSN - 1662-4246

DOI - 10.1159/000368959

Subject(s) - data sharing , confidentiality , research ethics , multidisciplinary approach , data protection act 1998 , computer science , psychology , medicine , political science , computer security , law , alternative medicine , pathology , psychiatry

DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual levEL Databases) has been proposed to facilitate the co-analysis of individual-level data from multiple studies without physically sharing the data. In a previous paper, we investigated whether DataSHIELD could protect participant confidentiality in accordance with UK law. In this follow-up paper, we investigate whether DataSHIELD addresses a broader range of ethics-related data-sharing concerns.

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