A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda

A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda

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Data sharing has enormous potential to accelerate and improve the accuracy of research, strengthen collaborations, and restore trust in the clinical research enterprise. Nevertheless, there remains reluctancy to openly share raw data sets, in part due to concerns regarding research participant confi...

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Bibliographic Details
Main Authors: Alishah Mawji, Holly Longstaff, Jessica Trawin, Dustin Dunsmuir, Clare Komugisha, Stefanie K. Novakowski, Matthew O. Wiens, Samuel Akech, Abner Tagoola, Niranjan Kissoon, J. Mark Ansermino
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-08-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931294/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931294/?tool=EBI

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