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DataSHIELD – new directions and dimensions

Abstract:

In disciplines such as biomedicine and social sciences, sharing and combining sensitive individual-level data is often prohibited by ethical-legal or governance constraints and other barriers such as the control of intellectual property or the huge sample sizes. DataSHIELD (Data Aggregation Through Anonymous Summary-statistics from Harmonised Individual-levEL Databases) is a distributed approach that allows the analysis of sensitive individual-level data from one study, and the co-analysis of...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.5334/dsj-2017-021

Authors


Publisher:
Ubiquity Press
Journal:
Data Science Journal More from this journal
Volume:
16
Article number:
21
Publication date:
2017-04-19
Acceptance date:
2017-04-05
DOI:
ISSN:
1683-1470
Language:
English
Keywords:
Pubs id:
pubs:725775
UUID:
uuid:240697a1-6b95-4b09-8c4e-baf771e0966f
Local pid:
pubs:725775
Source identifiers:
725775
Deposit date:
2017-09-07

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